ABOUT YOU

We are looking for a Head of Fund Analytics & Automation who is a hands-on builder, rigorous with data, and fluent in finance conversations to join our Credit Fund team in the office of the Chief Credit Officer. The best candidate will be someone who thrives in a fast-paced, highly collaborative, and exceptionally dynamic setting and is excited to design, build, and operate the fund’s entire data and automation stack end to end — and then own it as the fund goes live.

The credit fund is being built with a deliberately small team. Instead of hiring several analysts and operations staff, we want one senior technical hire who can do both: engineer the platform and sit across the table from investors and borrowers. Underwriting here is built on real payment telemetry — including Xsolla transaction data — and that data edge is the foundation of this role.

Strong SQL, Python, and production automation skills are essential, along with real experience in portfolio analytics, market risk, or credit. The ability to ship audit-grade systems and then defend the numbers in front of LPs and borrowers will be key to your success in this role. The role starts as a builder and becomes the owner-operator of the platform, with a growing seat in underwriting decisions and, as the platform and deal volume grow, scope to hire and lead a small team.

If you’re passionate about applying AI-governed automation to private credit and love building the systems that let a lean team punch far above its weight, we would love to hear from you!

ABOUT US

Xsolla is a global commerce company with robust tools and services to help developers solve the inherent challenges of the video game industry. From indie to AAA, companies partner with Xsolla to help them fund, distribute, market, and monetize their games. Grounded in the belief in the future of video games, Xsolla is resolute in the mission to bring opportunities together, and continually make new resources available to creators. Headquartered and incorporated in Los Angeles, California, Xsolla operates as the merchant of record and has helped over 1,500+ game developers to reach more players and grow their businesses around the world. With more paths to profits and ways to win, developers have all the things needed to enjoy the game.

For more information, visit xsolla.com.

Responsibilities

First 6 months — priorities in order

- Deal pipeline live: origination intake through credit committee, with the full audit trail. - Scoring data layer: borrower financials and payment telemetry ingested, stored, and under documented data contracts. - LP / fundraising pipeline instrumented, and first investor reporting shipped.

Explicitly out of scope: legal documentation, fund administration, and accounting — these sit with external providers.

Phase 1: Build (through first close)

Deal pipeline management

- Design and run the full deal workflow: origination intake, screening, scoring, credit committee, closing.

- Implement it as governed automation (workflow orchestration such as n8n or similar, with LLM-assisted steps where they add value): every automated output validated against a defined schema, low-confidence results routed to human review, and a complete audit trail suitable for LP due diligence.

Scoring and underwriting data layer

- Build the ingestion and storage layer for borrower financials and payments telemetry (including Xsolla transaction data) — PostgreSQL or equivalent, ETL pipelines, materialized views, documented data contracts.

- Develop credit scoring and forecasting models in Python, with proper train/test discipline, leakage and PII exclusion, and ongoing monitoring for drift and degradation.

- Maintain evaluation and regression checks so model and automation quality is measured continuously, not assumed.

Fundraising / LP pipeline

- Build and operate the investor pipeline: CRM automation, conference and referral pipeline tracking, follow-up orchestration, and data room preparation and upkeep.

- Instrument the pipeline so we always know conversion rates, stage aging, and next actions per LP.

Investor and borrower dashboards

- Ship reporting for both audiences: fund-level metrics for investors, facility-level metrics for borrowers.

- Numbers must reconcile to source systems and be reproducible outside the BI tool — audit-grade, not demo-grade. Tableau / Power BI or a lightweight web dashboard, whichever fits.

Reliability, cost, and security of the stack

- Budget caps and cost monitoring on all AI-assisted automation; regression canaries before changes ship.

- Access control and data protection appropriate for fund data: deny-by-default permissions, audit logs, strict handling of LP identities, borrower financials, and deal terms.

- Documented runbooks and handover-ready documentation as part of “done” — the stack must be operable by someone other than its author.

Phase 2: Operate (post-close)

- Move into an operating role on the underwriting side: portfolio monitoring, covenant and collateral tracking, scenario and stress analysis.

- Extend the platform to other investment types and support the capital formation team with the same pipeline and reporting infrastructure.

Client and investor facing

This is not a back-office role. The person will join investor and borrower meetings, present the dashboards and the numbers behind them, and field diligence questions directly. Fluency in finance conversations is as important as engineering. The person will also respond to LP operational due diligence questionnaires on the data and automation stack.

Qualifications and Skills

Required

- 7+ years across data analytics / data engineering, including recent hands-on experience building and running production automation (not prototypes or notebooks).

- Proven production experience with LLM-based automation: schema-validated outputs, human review gates, evaluation and regression testing, cost-tiered model routing.

- Strong SQL and Python; ownership of a PostgreSQL (or similar) data platform end to end — ETL, materialized views, performance tuning, data contracts.

- Workflow orchestration experience (n8n, Airflow, or comparable).

- BI and dashboarding: Tableau, Power BI, Qlik, or equivalent web dashboards; a track record of reporting that executives actually used for decisions.

- Security discipline for sensitive data: role-based access, deny-by-default policies, audit trails, PII handling.

- Finance background: degree in finance or quantitative field plus real experience in portfolio analytics, market risk, or credit — able to hold their own in an underwriting or investor conversation.

- Strong written and spoken English; comfortable presenting to senior external audiences.

Preferred

- Direct exposure to private credit, lending, or fund operations.

- Forecasting and statistical modeling track record (capacity planning, SLA/risk forecasting, or similar).

- Experience with embeddings / semantic search and multi-model AI setups.

- Web development ability (React / TypeScript or similar) for internal tools and dashboards.

- Experience in audited or regulated environments (SOC 2, fund audits, or equivalent).

Benefits

We are passionate about fostering a supportive environment for our team, so we prioritize the physical, mental, and emotional well-being of our employees and their families through a comprehensive Benefits Program. This includes 100% company-paid medical, dental, and vision plans, unlimited Flexible Time Off, and a personalized career roadmap for each employee. By investing in professional development through training and educational opportunities, we ensure that our team thrives both personally and professionally. Together, we’re not just building a business; we’re cultivating a community that values creativity, collaboration, and the transformative power of play.

Equal Employment Opportunity Statement

Xsolla is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate based on race, color, religion, sex, national origin, age, disability, sexual orientation, gender identity, or any other characteristic protected by law. We consider qualified applicants with criminal histories in accordance with the Fair Chance Act.

Criminal History Consideration

For the Head of Fund Analytics & Automation — Credit Fund position, we will conduct a background check that may include the following:

• Criminal history check
• Employment verification
• Education verification
• Credit history check

Relevance to Job Responsibilities

The background check is relevant to this position because of the following role responsibilities:

• Handling sensitive financial information and supporting fund analytics, financial models, and deal data
• Accessing confidential company data
• Ensuring compliance with regulatory requirements

Rights Under the Fair Chance Act

Applicants are encouraged to inquire about their rights under the Fair Chance Act. If you have questions regarding our hiring practices, please contact [email protected].

By submitting the following job application form, you consent to Xsolla processing your data for career-related inquiries and potential employment opportunities. We process your data in accordance with this Xsolla Privacy Notice for Job Applicants . Please direct any inquiries regarding your data privacy to [email protected].

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

About SecurityScorecard:

SecurityScorecard is the global leader in cybersecurity ratings, with over 12 million companies continuously rated, operating in 64 countries. Founded in 2013 by security and risk experts Dr. Alex Yampolskiy and Sam Kassoumeh and funded by world-class investors, SecurityScorecard’s patented rating technology is used by over 25,000 organizations for self-monitoring, third-party risk management, board reporting, and cyber insurance underwriting; making all organizations more resilient by allowing them to easily find and fix cybersecurity risks across their digital footprint.

Headquartered in New York City, our culture has been recognized by Inc Magazine as a “Best Workplace,” by Crain’s NY as a “Best Places to Work in NYC,” and as one of the 10 hottest SaaS startups in New York for two years in a row. Most recently, SecurityScorecard was named to Fast Company’s annual list of theWorld’s Most Innovative Companies for 2023 and to the Achievers 50 Most Engaged Workplaces in 2023 award recognizing “forward-thinking employers for their unwavering commitment to employee engagement.”  SecurityScorecard is proud to be funded by world-class investors including Silver Lake Waterman, Moody’s, Sequoia Capital, GV and Riverwood Capital.

About the Role:

We are looking for a talented and driven Senior Data Scientist to join our growing Data Science team. As a Senior Data Scientist, you will play a crucial role in developing and implementing advanced analytical models that drive insights and enhance our cybersecurity ratings platform. You will work on challenging problems, collaborate with cross-functional teams, and contribute directly to the success of our products.

Responsibilities:

• Build, evaluate, and deploy machine learning models for risk scoring, threat intelligence, and vendor risk assessment.
• Perform exploratory data analysis and identify patterns, trends, and anomalies in large and complex datasets.
• Evaluate and validate models, ensuring their accuracy, robustness, and scalability.
• Collaborate with product managers and engineers to define data science requirements and integrate models into production systems.
• Contribute to code reviews, design discussions, and data science best practices.
• Stay current on new research and technologies to ensure we leverage state-of-the-art methods.
• Communicate findings and recommendations effectively to both technical and non-technical audiences.

Required Qualifications:

• Advanced degree in a quantitative field (e.g., Computer Science, Statistics, Mathematics) or equivalent professional experience applying data science to complex problems.
• 5+ years of experience applying data science and machine learning to real-world challenges.
• Proficient in Python and ML/data science frameworks (e.g., scikit-learn, XGBoost, MLFlow,  PyTorch).
• Experience working with cloud-based data pipelines (AWS, GCP, or similar).
• Solid understanding of ML algorithms, evaluation metrics, and model deployment.
• Effective communicator and team player with a passion for solving hard problems.
• Prior exposure to cybersecurity, threat intelligence, or risk scoring a significant plus.
• Prior exposure and interest in LLMs is a plus.
• Working knowledge of Scala is a plus.

Benefits:

Specific to each country, we offer a competitive salary, stock options, Health benefits, and unlimited PTO, parental leave, tuition reimbursements, and much more!

The estimated total compensation range for this position is $100,000 USD - $125,000 USD (base plus bonus). Actual compensation for the position is based on a variety of factors, including, but not limited to affordability, skills, qualifications and experience, and may vary from the range. In addition to base salary, employees may also be eligible for annual performance-based incentive compensation awards and equity, among other company benefits.

SecurityScorecard is committed to Equal Employment Opportunity and embraces diversity. We believe that our team is strengthened through hiring and retaining employees with diverse backgrounds, skill sets, ideas, and perspectives. We make hiring decisions based on merit and do not discriminate based on race, color, religion, national origin, sex or gender (including pregnancy) gender identity or expression (including transgender status), sexual orientation, age, marital, veteran, disability status or any other protected category in accordance with applicable law.

We also consider qualified applicants regardless of criminal histories, in accordance with applicable law. We are committed to providing reasonable accommodations for qualified individuals with disabilities in our job application procedures. If you need assistance or accommodation due to a disability, please contact talentacquisitionoperations@securityscorecard.io.

Any information you submit to SecurityScorecard as part of your application will be processed in accordance with the Company’s privacy policy and applicable law.

SecurityScorecard does not accept unsolicited resumes from employment agencies.  Please note that we do not provide immigration sponsorship for this position.   #LI-DNI

About SecurityScorecard:

SecurityScorecard is the global leader in cybersecurity ratings, with over 12 million companies continuously rated, operating in 64 countries. Founded in 2013 by security and risk experts Dr. Alex Yampolskiy and Sam Kassoumeh and funded by world-class investors, SecurityScorecard’s patented rating technology is used by over 25,000 organizations for self-monitoring, third-party risk management, board reporting, and cyber insurance underwriting; making all organizations more resilient by allowing them to easily find and fix cybersecurity risks across their digital footprint.

Headquartered in New York City, our culture has been recognized by Inc Magazine as a “Best Workplace,” by Crain’s NY as a “Best Places to Work in NYC,” and as one of the 10 hottest SaaS startups in New York for two years in a row. Most recently, SecurityScorecard was named to Fast Company’s annual list of theWorld’s Most Innovative Companies for 2023 and to the Achievers 50 Most Engaged Workplaces in 2023 award recognizing “forward-thinking employers for their unwavering commitment to employee engagement.”  SecurityScorecard is proud to be funded by world-class investors including Silver Lake Waterman, Moody’s, Sequoia Capital, GV and Riverwood Capital.

About the Role:

We are looking for a talented and driven Senior Data Scientist to join our growing Data Science team. As a Senior Data Scientist, you will play a crucial role in developing and implementing advanced analytical models that drive insights and enhance our cybersecurity ratings platform. You will work on challenging problems, collaborate with cross-functional teams, and contribute directly to the success of our products.

Responsibilities:

• Build, evaluate, and deploy machine learning models for risk scoring, threat intelligence, and vendor risk assessment.
• Perform exploratory data analysis and identify patterns, trends, and anomalies in large and complex datasets.
• Evaluate and validate models, ensuring their accuracy, robustness, and scalability.
• Collaborate with product managers and engineers to define data science requirements and integrate models into production systems.
• Contribute to code reviews, design discussions, and data science best practices.
• Stay current on new research and technologies to ensure we leverage state-of-the-art methods.
• Communicate findings and recommendations effectively to both technical and non-technical audiences.

Required Qualifications:

• Advanced degree in a quantitative field (e.g., Computer Science, Statistics, Mathematics) or equivalent professional experience applying data science to complex problems.
• 5+ years of experience applying data science and machine learning to real-world challenges.
• Proficient in Python and ML/data science frameworks (e.g., scikit-learn, XGBoost, MLFlow,  PyTorch).
• Experience working with cloud-based data pipelines (AWS, GCP, or similar).
• Solid understanding of ML algorithms, evaluation metrics, and model deployment.
• Effective communicator and team player with a passion for solving hard problems.
• Prior exposure to cybersecurity, threat intelligence, or risk scoring a significant plus.
• Prior exposure and interest in LLMs is a plus.
• Working knowledge of Scala is a plus.

Benefits:

Specific to each country, we offer a competitive salary, stock options, Health benefits, and unlimited PTO, parental leave, tuition reimbursements, and much more!

The estimated total compensation range for this position is $80,000 USD - $100,000 USD (base plus bonus). Actual compensation for the position is based on a variety of factors, including, but not limited to affordability, skills, qualifications and experience, and may vary from the range. In addition to base salary, employees may also be eligible for annual performance-based incentive compensation awards and equity, among other company benefits.

SecurityScorecard is committed to Equal Employment Opportunity and embraces diversity. We believe that our team is strengthened through hiring and retaining employees with diverse backgrounds, skill sets, ideas, and perspectives. We make hiring decisions based on merit and do not discriminate based on race, color, religion, national origin, sex or gender (including pregnancy) gender identity or expression (including transgender status), sexual orientation, age, marital, veteran, disability status or any other protected category in accordance with applicable law.

We also consider qualified applicants regardless of criminal histories, in accordance with applicable law. We are committed to providing reasonable accommodations for qualified individuals with disabilities in our job application procedures. If you need assistance or accommodation due to a disability, please contact talentacquisitionoperations@securityscorecard.io.

Any information you submit to SecurityScorecard as part of your application will be processed in accordance with the Company’s privacy policy and applicable law.

SecurityScorecard does not accept unsolicited resumes from employment agencies.  Please note that we do not provide immigration sponsorship for this position.   #LI-DNI

About SecurityScorecard:

SecurityScorecard is the global leader in cybersecurity ratings, with over 12 million companies continuously rated, operating in 64 countries. Founded in 2013 by security and risk experts Dr. Alex Yampolskiy and Sam Kassoumeh and funded by world-class investors, SecurityScorecard’s patented rating technology is used by over 25,000 organizations for self-monitoring, third-party risk management, board reporting, and cyber insurance underwriting; making all organizations more resilient by allowing them to easily find and fix cybersecurity risks across their digital footprint.

Headquartered in New York City, our culture has been recognized by Inc Magazine as a “Best Workplace,” by Crain’s NY as a “Best Places to Work in NYC,” and as one of the 10 hottest SaaS startups in New York for two years in a row. Most recently, SecurityScorecard was named to Fast Company’s annual list of theWorld’s Most Innovative Companies for 2023 and to the Achievers 50 Most Engaged Workplaces in 2023 award recognizing “forward-thinking employers for their unwavering commitment to employee engagement.”  SecurityScorecard is proud to be funded by world-class investors including Silver Lake Waterman, Moody’s, Sequoia Capital, GV and Riverwood Capital.

About the Role:

We are looking for a talented and driven Senior Data Scientist to join our growing Data Science team. As a Senior Data Scientist, you will play a crucial role in developing and implementing advanced analytical models that drive insights and enhance our cybersecurity ratings platform. You will work on challenging problems, collaborate with cross-functional teams, and contribute directly to the success of our products.

Responsibilities:

• Build, evaluate, and deploy machine learning models for risk scoring, threat intelligence, and vendor risk assessment.
• Perform exploratory data analysis and identify patterns, trends, and anomalies in large and complex datasets.
• Evaluate and validate models, ensuring their accuracy, robustness, and scalability.
• Collaborate with product managers and engineers to define data science requirements and integrate models into production systems.
• Contribute to code reviews, design discussions, and data science best practices.
• Stay current on new research and technologies to ensure we leverage state-of-the-art methods.
• Communicate findings and recommendations effectively to both technical and non-technical audiences.

Required Qualifications:

• Advanced degree in a quantitative field (e.g., Computer Science, Statistics, Mathematics) or equivalent professional experience applying data science to complex problems.
• 5+ years of experience applying data science and machine learning to real-world challenges.
• Proficient in Python and ML/data science frameworks (e.g., scikit-learn, XGBoost, MLFlow,  PyTorch).
• Experience working with cloud-based data pipelines (AWS, GCP, or similar).
• Solid understanding of ML algorithms, evaluation metrics, and model deployment.
• Effective communicator and team player with a passion for solving hard problems.
• Prior exposure to cybersecurity, threat intelligence, or risk scoring a significant plus.
• Prior exposure and interest in LLMs is a plus.
• Working knowledge of Scala is a plus.

Benefits:

Specific to each country, we offer a competitive salary, stock options, Health benefits, and unlimited PTO, parental leave, tuition reimbursements, and much more!

The estimated total compensation range for this position is $150,000 - $175,000 (base plus bonus). Actual compensation for the position is based on a variety of factors, including, but not limited to affordability, skills, qualifications and experience, and may vary from the range. In addition to base salary, employees may also be eligible for annual performance-based incentive compensation awards and equity, among other company benefits.

SecurityScorecard is committed to Equal Employment Opportunity and embraces diversity. We believe that our team is strengthened through hiring and retaining employees with diverse backgrounds, skill sets, ideas, and perspectives. We make hiring decisions based on merit and do not discriminate based on race, color, religion, national origin, sex or gender (including pregnancy) gender identity or expression (including transgender status), sexual orientation, age, marital, veteran, disability status or any other protected category in accordance with applicable law.

We also consider qualified applicants regardless of criminal histories, in accordance with applicable law. We are committed to providing reasonable accommodations for qualified individuals with disabilities in our job application procedures. If you need assistance or accommodation due to a disability, please contact talentacquisitionoperations@securityscorecard.io.

Any information you submit to SecurityScorecard as part of your application will be processed in accordance with the Company’s privacy policy and applicable law.

SecurityScorecard does not accept unsolicited resumes from employment agencies.  Please note that we do not provide immigration sponsorship for this position.   #LI-DNI

Senior Business Analyst - SaaS & Income Processing Application (Hybrid Toronto)

The Role

Capco is seeking a Security Engineering Developer to design, develop, and enhance enterprise authentication capabilities on a Unified Authentication Platform. The role will focus on integrating modern Identity and Access Management (IAM) solutions such as Ping Identity (or equivalent), implementing passwordless authentication, MFA, token services, and secure API integrations to deliver scalable, secure, and seamless authentication experiences.

What You’ll Do

Capco is seeking a tenacious & proactive Corporate Actions Business Analyst to join our growing team that works closely with clients to implement strategic SaaS Corporate Actions & Income Processing application and its associated platform components across the Americas and in Europe. Do you have a strong Asset Servicing background and a proven record of collaborating effectively with clients & multiple teams to deliver outstanding results?

The Corporate Actions BA will be responsible for:

• User Testing Management & Reporting- working with clients to triage issues and to accurately track, report and expedite all phases of testing, challenging clients on change vs defect and ensuring development activity is focused on the essential issues for the priority milestones. Working with clients to have clean and accurate data on test execution progress and issue tirage & delivery.

• Training- quickly absorbing our industry leading APIs and product functionality to enable you to run client training sessions which includes the preparation of material, plans for delivery, and hands-on product demonstrations & training.

• Data Integration / Configuration Definition- working with our clients to define upstream and downstream data integration mapping, and suitable product configurations to support the client’s business.

• Migration/Conversion - supporting the Implementation Manager in the definition of the conversion strategy and the execution runbook. Assisting on mock conversions and final go-live, ensuring any issues from the mocks are reported and tracked to completion in good time for subsequent mock runs.

• Production Compare - participating in all phases of the reconciliation work to compare legacy output to BR’s solution for the same inputs using BDC (BR Data Control). Prioritising & driving improvements to match rates via new rule definitions and daily reporting both internally and to clients.

• Production Readiness - supporting the Implementation Manager by completing checklist activities and collaborating with internal and client stakeholders to ensure projects are successfully implemented on time and transition successfully into BAU.

• Collaboration- working closely with internal teams on delivery of conversions activities, and providing mentoring/guidance to junior members of the team.

What We’re Looking For

• 3-5 yrs experience as a conversions/implementation consultant, working on SaaS project delivery to Wealth or Capital Markets organisations.

• Asset Servicing platforms (either in-house or vendor solutions) in a Wealth Management, Investment Banking, or other financial environment.

• Client facing, and able to build good working relationships with clients whilst being strong enough to defend BR’s position.

• Experience of large scale projects and solid understanding of the full project lifecycle and Governance.

• Excellent attention to detail to enable accurate reporting.

Why Join Capco

• Deliver high-impact technology solutions for Tier 1 financial institutions
• Work in a collaborative, flat, and entrepreneurial consulting culture
• Access continuous learning, training, and industry certifications
• Be part of a team shaping the future of digital financial services
• Help shape the future of digital transformation across FS & Energy.

Benefits

• Comprehensive Benefits Coverage – 100% company-paid health, life, and disability insurance effective from Day 1 of employment
• Retirement Savings Program – Registered Retirement Savings Plan (RRSP) with the option of receiving a matching employer contribution
• Virtual Health Care – Company-paid program available to all employees and their dependents/partners
• Employee & Family Assistance Program (EFAP) – Company-paid support services for employees and their dependents/partners
• Parental Leave Top-Up – Enhanced parental leave benefits available from Day 1 of employment
• New Parent Gift – A company-sponsored gift to celebrate the arrival of a new child
• Wellness Support – Fitness reimbursement benefit to promote health and well-being
• Business Coach from Day 1: Personalized one-on-one coaching to support career growth, accelerate development, and help achieve your professional goals at Capco.

Use of Artificial Intelligence in Talent Acquisition

At Capco, we use artificial intelligence (AI) tools to support and enhance several parts of talent acquisition. This includes using AI-enabled features within LinkedIn to help source potential candidates, speeding up routine recruitment communications such as emails and creating compelling and brand-aligned job postings that accurately reflect role requirements, and AI-scheduling applications to improve the efficiency of interview coordination.

AI is used as a support tool only. All hiring decisions are made by talent acquisition and hiring teams.

Why This Role Is Open

We are currently hiring for this role due to an existing or newly created vacancy within our organization. This position is open as part of our ongoing business needs, and we are actively reviewing applications to fill this role with a qualified candidate who can make an immediate impact.

We offer a competitive, people-first benefits package designed to support every aspect of your life:

Inclusion at Capco

We’re committed to making our recruitment process accessible and straightforward for everyone. If you need any adjustments at any stage, just let us know – we’ll be happy to help. We value each person’s unique perspective and contribution. At Capco, we believe that being yourself is your greatest strength. Our #BeYourselfAtWork culture encourages individuality and collaboration – a mindset that shapes how we work with clients and each other every day.

#LI-hybrid

Pay Transparency

The salary range for this position is listed below. Additionally, this position may also be eligible to receive an annual discretionary/variable bonus payment.

Capco is committed to providing fair and equitable compensation to our people. Our compensation policies and salary ranges are designed to allow our people to progress through the salary range as they demonstrate strong performance and develop in their role over time. The base pay offered to selected candidates will be within the salary range and the placement will vary based upon a variety of factors, including, but not limited to job-related knowledge, skills, experience and internal equity.

Canada Pay Transparency

$118,000—$135,000 CAD

Senior Business Analyst - SaaS & Income Processing Application (Hybrid Toronto)

The Role

Capco is seeking a Security Engineering Developer to design, develop, and enhance enterprise authentication capabilities on a Unified Authentication Platform. The role will focus on integrating modern Identity and Access Management (IAM) solutions such as Ping Identity (or equivalent), implementing passwordless authentication, MFA, token services, and secure API integrations to deliver scalable, secure, and seamless authentication experiences.

What You’ll Do

Capco is seeking a tenacious & proactive Corporate Actions Business Analyst to join our growing team that works closely with clients to implement strategic SaaS Corporate Actions & Income Processing application and its associated platform components across the Americas and in Europe. Do you have a strong Asset Servicing background and a proven record of collaborating effectively with clients & multiple teams to deliver outstanding results?

The Corporate Actions BA will be responsible for:

• User Testing Management & Reporting- working with clients to triage issues and to accurately track, report and expedite all phases of testing, challenging clients on change vs defect and ensuring development activity is focused on the essential issues for the priority milestones. Working with clients to have clean and accurate data on test execution progress and issue tirage & delivery.

• Training- quickly absorbing our industry leading APIs and product functionality to enable you to run client training sessions which includes the preparation of material, plans for delivery, and hands-on product demonstrations & training.

• Data Integration / Configuration Definition- working with our clients to define upstream and downstream data integration mapping, and suitable product configurations to support the client’s business.

• Migration/Conversion - supporting the Implementation Manager in the definition of the conversion strategy and the execution runbook. Assisting on mock conversions and final go-live, ensuring any issues from the mocks are reported and tracked to completion in good time for subsequent mock runs.

• Production Compare - participating in all phases of the reconciliation work to compare legacy output to BR’s solution for the same inputs using BDC (BR Data Control). Prioritising & driving improvements to match rates via new rule definitions and daily reporting both internally and to clients.

• Production Readiness - supporting the Implementation Manager by completing checklist activities and collaborating with internal and client stakeholders to ensure projects are successfully implemented on time and transition successfully into BAU.

• Collaboration- working closely with internal teams on delivery of conversions activities, and providing mentoring/guidance to junior members of the team.

What We’re Looking For

• 3-5 yrs experience as a conversions/implementation consultant, working on SaaS project delivery to Wealth or Capital Markets organisations.

• Asset Servicing platforms (either in-house or vendor solutions) in a Wealth Management, Investment Banking, or other financial environment.

• Client facing, and able to build good working relationships with clients whilst being strong enough to defend BR’s position.

• Experience of large scale projects and solid understanding of the full project lifecycle and Governance.

• Excellent attention to detail to enable accurate reporting.

Why Join Capco

• Deliver high-impact technology solutions for Tier 1 financial institutions
• Work in a collaborative, flat, and entrepreneurial consulting culture
• Access continuous learning, training, and industry certifications
• Be part of a team shaping the future of digital financial services
• Help shape the future of digital transformation across FS & Energy.

Benefits

• Comprehensive Benefits Coverage – 100% company-paid health, life, and disability insurance effective from Day 1 of employment
• Retirement Savings Program – Registered Retirement Savings Plan (RRSP) with the option of receiving a matching employer contribution
• Virtual Health Care – Company-paid program available to all employees and their dependents/partners
• Employee & Family Assistance Program (EFAP) – Company-paid support services for employees and their dependents/partners
• Parental Leave Top-Up – Enhanced parental leave benefits available from Day 1 of employment
• New Parent Gift – A company-sponsored gift to celebrate the arrival of a new child
• Wellness Support – Fitness reimbursement benefit to promote health and well-being
• Business Coach from Day 1: Personalized one-on-one coaching to support career growth, accelerate development, and help achieve your professional goals at Capco.

Use of Artificial Intelligence in Talent Acquisition

At Capco, we use artificial intelligence (AI) tools to support and enhance several parts of talent acquisition. This includes using AI-enabled features within LinkedIn to help source potential candidates, speeding up routine recruitment communications such as emails and creating compelling and brand-aligned job postings that accurately reflect role requirements, and AI-scheduling applications to improve the efficiency of interview coordination.

AI is used as a support tool only. All hiring decisions are made by talent acquisition and hiring teams.

Why This Role Is Open

We are currently hiring for this role due to an existing or newly created vacancy within our organization. This position is open as part of our ongoing business needs, and we are actively reviewing applications to fill this role with a qualified candidate who can make an immediate impact.

We offer a competitive, people-first benefits package designed to support every aspect of your life:

Inclusion at Capco

We’re committed to making our recruitment process accessible and straightforward for everyone. If you need any adjustments at any stage, just let us know – we’ll be happy to help. We value each person’s unique perspective and contribution. At Capco, we believe that being yourself is your greatest strength. Our #BeYourselfAtWork culture encourages individuality and collaboration – a mindset that shapes how we work with clients and each other every day.

#LI-hybrid

Pay Transparency

The salary range for this position is listed below. Additionally, this position may also be eligible to receive an annual discretionary/variable bonus payment.

Capco is committed to providing fair and equitable compensation to our people. Our compensation policies and salary ranges are designed to allow our people to progress through the salary range as they demonstrate strong performance and develop in their role over time. The base pay offered to selected candidates will be within the salary range and the placement will vary based upon a variety of factors, including, but not limited to job-related knowledge, skills, experience and internal equity.

Canada Pay Transparency

$118,000—$135,000 CAD

Position Overview:

Blue Acorn iCi is seeking a skilled Analytics Consultant who has a broad range of experience in the Adobe Suite (i.e. Adobe Analytics, Adobe Target) and Google Analytics (GA4). This key strategy position will be responsible for realizing digital channel strategy for our customers, uncover unique circumstances, provide guidance and prioritization of initiatives, and drive value as a trusted advisor to our current customer base and increase the customer experience.

This role will be for a business-minded and data-driven consultant who can fuel our ability to provide data analysis, insight, and recommendations to our enterprise-level clients through implementation, configuration, and enablement of digital analytics and other Adobe solutions.

Preferred Experience:

• Deep Adobe Experience Cloud experience with heavy emphasis on Adobe Analytics, Adobe Target, CDP and Audience Manager
• Extensive experience with Google Analytics (GA4)
• Broad MarTech stack experience (Augmented Analytics, Digital Experience Analytics, Audience Intelligence Platforms, etc.)
• Knowledge of modern Analytics best practices and trends
• Experience running workshops to elicit requirements
• Data analysis experience
• Business consulting with an emphasis in the digital channel
• Demonstrate ability to be a leader within a collaborative team environment
• Pre-Sales experience supporting sales strategy evaluating the customer digital channel objectives
• Comfortable creating resonating/boardroom ready presentations for executive (including client) leadership
• Articulate and logically communicate with technical and non-technical audiences
• Navigate digital marketing concepts and conversations
• Capable of building and maintaining strong relationships with a diverse set of leadership
• Enterprise account experience

Functions and Responsibilities:

• Enterprise client and partner leadership (above the project and program level) including Steering Committee representation
• Responsible for identifying KPI’s, success factors and growing the business.
• Accountable for discovering, sourcing and analyzing customer digital channel visions (how it would connect back to their experience within “Analytics” systems
• Works with product teams to shape the strategy and capabilities for key digital consulting engagements, supporting the evolution of the product and delivery roadmap
• Lead and co-deliver strategy consulting engagements (i.e. digital transformation, customer journey, digital marketing, etc.)
• Establishes cross-functional operation.  Builds support and alignment across a wide range of stakeholders, creates a strong network of relationships among peers, partners, decision makers and stakeholders
• Anticipate problems and recommend innovative solutions. Attentive to client and project team needs
• Advocate digital marketing education for the organization, promoting new technologies, digital marketing tactics and continually merge with Adobe Experience Cloud solutions

The base salary range for this position is $90,000 – $150,000 annually. Actual compensation may vary depending on experience, qualifications, geographic location, and other job-related factors.

About Blue Acorn iCi

Blue Acorn iCi, a business unit of Infosys Nova Holdings, LLC, is a digital experience partner helping global brands design, build, and optimize the future of customer engagement. We blend data, design, and technology to deliver connected commerce and content solutions that drive measurable results.

Specializing in the Adobe Experience Cloud, we provide end-to-end services across commerce, content, analytics, and customer insights. Backed by Infosys, we’re growing fast—and we’re looking for exceptional talent to grow with us.

Our teams work at the intersection of strategy and execution—solving complex challenges for industry leaders in healthcare, retail, manufacturing, and beyond. From large-scale digital transformation programs to platform implementations and ongoing optimization, we bring deep expertise and a collaborative mindset to every engagement.

Why Join Us?

Blue Acorn iCi is a place for curious thinkers, smart builders, and digital pioneers. We’re more than a consultancy—we’re a team of innovators helping the world’s top brands shape the future of digital.

Here, you won’t just contribute to a project—you’ll drive meaningful outcomes, collaborate with cross-disciplinary teams, and grow your skills in a high-impact, high-growth environment. We believe great work starts with great people, and we’re committed to creating a culture where talent thrives, ideas spark change, and results speak for themselves.

If you’re ready to push boundaries, deliver real value, and help shape the next generation of digital experiences—this is your place.

***For US based roles, candidates must have unrestricted authorization to work in the United States without the need for employer sponsorship now or in the future. Infosys Nova Holdings, LLC does not provide immigration or visa sponsorship for this position (including H4 EAD, H‑1B, OPT, CPT, TN, O‑1, E‑3, or J‑1 visas).***

Full Time, Non-Temporary Employees enjoy a competitive benefits package that includes medical, dental and vision insurance, life insurance, disability, paid time off, 401(k), and more!

Blue Acorn iCi is an equal opportunity employer and all qualified applicants will receive consideration without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, spouse of protected veteran, or disability.

Please click to read EEO Law and Pay Transparency Act and IER Right to Work Document and Privacy Notice.

Blue Acorn iCi will endeavor to make a reasonable accommodation to the known physical or mental limitations of a qualified applicant with a disability unless the accommodation would impose an undue hardship on the operation of our business. If you believe you require such assistance to complete this form or to participate in an interview, please contact us at: careers@blueacornici.com.

California applicants: Please click here for CCPA disclosures.

Position Overview

We are seeking a Senior Business Systems Analyst – Marketing Technology to support enterprise marketing systems and engineering delivery across a complex, multi-platform ecosystem. This role operates as a senior individual contributor, bridging business processes, product strategy, and technical execution.

You will partner closely with Product Management, Engineering, and business stakeholders to translate business objectives into implementation-ready requirements, ensuring alignment between functional needs, platform capabilities, and delivery outcomes.

This position is ideal for a technically strong analyst—often an engineer-turned-analyst—who thrives in enterprise environments and can drive clarity, structure, and execution across ambiguous and cross-functional initiatives.

Key Responsibilities

Business Analysis & Requirements Management

• Partner with Product Management and business stakeholders to understand business goals, process needs, and functional requirements across the marketing ecosystem.
• Translate business requirements into clear functional requirements, user stories, process flows, acceptance criteria, and other artifacts that engineering teams can build against.
• Analyze requirements for completeness, feasibility, downstream impacts, and alignment with existing platform capabilities and architecture standards.
• Document decisions, assumptions, dependencies, and requirement changes clearly to support delivery quality and long-term maintainability.

Solution Design & Delivery Support

• Support solution discovery and solution design for cross-system initiatives spanning CRM, marketing automation, integrations, and related data flows.
• Work closely with architects and engineers to clarify system behavior, define dependencies, and resolve functional and technical ambiguities during design and delivery.
• Support platform configuration definition and ensure that delivered solutions align with intended business outcomes.

Cross-Functional Collaboration & Execution

• Contribute to backlog refinement and release planning in partnership with Product Management and engineering teams.
• Facilitate working sessions with cross-functional teams including Product, Engineering, QA, and business stakeholders.
• Act as a strong senior analyst within the team by improving requirement quality, bringing structure to ambiguous asks, and helping drive consistent execution.

Required Skills & Experience

Enterprise Marketing Technology Expertise

• Strong experience supporting enterprise marketing and CRM ecosystems, including hands-on work with platforms such as Dynamics 365, Salesforce, and Marketo.
• Familiarity with integrations, data flows, lead management, and intake processes across marketing systems.

Technical & Analytical Capabilities

• Strong technical aptitude, including understanding of integrations, data flows, dependencies, and solution tradeoffs.
• Ability to create implementation-ready documentation such as user stories, process maps, functional designs, and acceptance criteria.
• Demonstrated ability to bridge business context and technical implementation details with minimal supervision.

Program Delivery Experience

• 8+ years of experience as a Business Systems Analyst, Business Analyst, Solution Analyst, or similar techno-functional role in a large enterprise environment.
• Experience working directly with engineering teams, architects, and product managers in an Agile delivery model.
• Strong communication and stakeholder-management skills, including the ability to ask the right questions and challenge unclear requirements constructively.

Preferred Qualifications

• Experience in B2B marketing processes such as lead management, routing, lifecycle management, and marketing-to-CRM alignment.
• Experience supporting platform transformation or migration programs, including transition from legacy systems to target-state platforms.
• Familiarity with Workfront or similar intake and work-management platforms.
• Exposure to Adobe Experience Platform (AEP), customer data platform concepts, or adjacent customer-data capabilities.
• Prior experience in engineering, development, QA, or another technically grounded role before moving into analysis.
• Bachelor’s degree in Computer Science, Information Systems, Business, or a related field, or equivalent practical experience.

The base salary range for this position is $130,000 – $180,000 annually. Actual compensation may vary depending on experience, qualifications, geographic location, and other job-related factors.

About Blue Acorn iCi

Blue Acorn iCi, a business unit of Infosys Nova Holdings, LLC, is a digital experience partner helping global brands design, build, and optimize the future of customer engagement. We blend data, design, and technology to deliver connected commerce and content solutions that drive measurable results.

Specializing in the Adobe Experience Cloud, we provide end-to-end services across commerce, content, analytics, and customer insights. Backed by Infosys, we’re growing fast—and we’re looking for exceptional talent to grow with us.

Our teams work at the intersection of strategy and execution—solving complex challenges for industry leaders in healthcare, retail, manufacturing, and beyond. From large-scale digital transformation programs to platform implementations and ongoing optimization, we bring deep expertise and a collaborative mindset to every engagement.

Why Join Us?

Blue Acorn iCi is a place for curious thinkers, smart builders, and digital pioneers. We’re more than a consultancy—we’re a team of innovators helping the world’s top brands shape the future of digital.

Here, you won’t just contribute to a project—you’ll drive meaningful outcomes, collaborate with cross-disciplinary teams, and grow your skills in a high-impact, high-growth environment. We believe great work starts with great people, and we’re committed to creating a culture where talent thrives, ideas spark change, and results speak for themselves.

If you’re ready to push boundaries, deliver real value, and help shape the next generation of digital experiences—this is your place.

***For US based roles, candidates must have unrestricted authorization to work in the United States without the need for employer sponsorship now or in the future. Infosys Nova Holdings, LLC does not provide immigration or visa sponsorship for this position (including H4 EAD, H‑1B, OPT, CPT, TN, O‑1, E‑3, or J‑1 visas).***

Full Time, Non-Temporary Employees enjoy a competitive benefits package that includes medical, dental and vision insurance, life insurance, disability, paid time off, 401(k), and more!

Blue Acorn iCi is an equal opportunity employer and all qualified applicants will receive consideration without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, spouse of protected veteran, or disability.

Please click to read EEO Law and Pay Transparency Act and IER Right to Work Document and Privacy Notice.

Blue Acorn iCi will endeavor to make a reasonable accommodation to the known physical or mental limitations of a qualified applicant with a disability unless the accommodation would impose an undue hardship on the operation of our business. If you believe you require such assistance to complete this form or to participate in an interview, please contact us at: careers@blueacornici.com.

California applicants: Please click here for CCPA disclosures.

Airbnb was born in 2007 when two hosts welcomed three guests to their San Francisco home, and has since grown to over 5 million hosts who have welcomed over 2 billion guest arrivals in almost every country across the globe. Every day, hosts offer unique stays and experiences that make it possible for guests to connect with communities in a more authentic way.

The Community You Will Join:

You will join the Payments Data Science organization, which sits at the intersection of Trust and Payments and powers the systems that move money safely and efficiently across Airbnb’s global marketplace. The team spans payment optimization for guests and hosts, fraud and risk mitigation, complex measurement, and regulatory compliance. We partner directly with Payments product and engineering leadership, Finance, and Trust to ensure every transaction is fast, safe, and compliant at global scale. Our work directly shapes decisions made by senior leaders, including Payments executive leadership, and requires a rigorous, evidence-based approach to every recommendation we make. Our Data Science team enables this mission by providing reliable measurement frameworks to deliver robust data insights, build and enable state-of-the-art data products/models, and provide actionable and reliable business guidance.

The Difference You Will Make:

We are looking for a passionate data scientist to lead quantitative measurement efforts and bring novel scientific approaches to drive decision making across our platform’s payment experience. This data scientist will perform careful hypothesis generation, causal inference framework development, and model development/evaluation to ideate and drive payment strategies on our platform. This role will have a particular focus on payments fraud mitigation and loss optimization, with the goal of making our platform safer for our community.

Our Data Scientists have a deep understanding of causal framework development, statistical analysis, machine learning model development and evaluation strategies, and the complications of running experiment/quasi-experimental methods in a two-sided marketplace. They have keen business sense and are able to develop novel solutions to fraud and risk problems that don’t have an established playbook and utilize their findings to communicate across a wide range of partners to drive our data & product roadmaps. They are not only the trusted data expert on their team, but also a storyteller.

Examples of projects you may work on include, development of novel metrics and frameworks that can efficiently measure outcomes (often balancing competing tradeoffs), generating deep root cause investigations and long term impact measurements, and building/evaluating ML and agentic models to optimize guest, host, and business outcomes.

A Typical Day:

• Inference: Develop and apply causal inference methods, including experimental, econometric regressions, and quasi-experimental methods to measure a wide-range of platform/product impacts.
• AI/ML: Build methods for robust evaluation of ML/AI model efficiency and performance. Ability to identify use-cases for and develop predictive models to classify, segment, and interpret our users’ behavior. Support evaluation and optimization of agentic and LLM-based systems.
• Optimization: Develop methodologies to explore/simulate the impact of new interventions and develop data products to optimize product/operational strategies.
• Communication: Deliver robust research reports and effective data visualizations. Collaborate with and present to stakeholders to identify opportunities and communicate findings, and drive impact.
• Empowerment: Think strategically about opportunities to improve and scale our brand measurement and customer insights.

Your Expertise:

• 5+ years of industry experience in a quantitative analysis role with a Master’s degree in a quantitative field (math / economics / statistics, and etc.), or 3+ years of experience with a Phd degree.
• Strong knowledge of causal inference, experimentation, applied statistical modeling, and end-to-end ML development.
• Skilled in statistical programming (Python or R) and database usage (SQL)
• Demonstrated track record of owning a business or technical domain end-to-end at a prior company: setting your own roadmap, being the accountable expert others escalate to, and driving a problem to resolution.
• Proven ability to communicate clearly and effectively to audiences of varying technical levels
• Ability to work independently, set your own roadmap, and drive cross-functional alignment
• Payments Fraud/Risk Domain expertise is a strong plus.
• Familiarity with evaluating agentic or LLM-based systems (e.g., decision-quality measurement, human-in-the-loop calibration) is a plus.

Your Location:

This position is US - Remote Eligible. The role may include occasional work at an Airbnb office or attendance at offsites, as agreed to with your manager. While the position is Remote Eligible, you must live in a state where Airbnb, Inc. has a registered entity. Click here for the up-to-date list of excluded states. This list is continuously evolving, so please check back with us if the state you live in is on the exclusion list. If your position is employed by another Airbnb entity, your recruiter will inform you what states you are eligible to work from.

Our Commitment To Inclusion & Belonging:

Airbnb is committed to working with the broadest talent pool possible. We believe diverse ideas foster innovation and engagement, and allow us to attract creatively-led people, and to develop the best products, services and solutions. All qualified individuals are encouraged to apply.

We strive to also provide a disability inclusive application and interview process. If you are a candidate with a disability and require reasonable accommodation in order to submit an application, please contact us at: reasonableaccommodations@airbnb.com. Please include your full name, the role you’re applying for and the accommodation necessary to assist you with the recruiting process.

We ask that you only reach out to us if you are a candidate whose disability prevents you from being able to complete our online application.

How We’ll Take Care of You:

Our job titles may span more than one career level. The actual base pay is dependent upon many factors, such as: training, transferable skills, work experience, business needs and market demands. The base pay range is subject to change and may be modified in the future. This role may also be eligible for bonus, equity, benefits, and Employee Travel Credits.

Pay Range

$179,000—$210,000 USD

You could be the one who changes everything for our 28 million members by using technology to improve health outcomes around the world.

Shape what’s next in dental technology.

Join Henry Schein One!

Join a global leader redefining dental practice management and do work that actually matters. At Henry Schein One, we are a team of care catalysts: people who fuel innovation, challenge the status quo, and bring an entrepreneurial mindset to everything we do. Your ideas fuel innovation that enhances patient care and drives real results for practices.

We don’t just talk about impact; we build it! Backed by a trusted reputation, our leaders foster an inclusive and supportive environment where we stay solely focused on our mission, empowering you to think boldly, collaborate creatively, and grow. We have high expectations for performance and delivering results; as part of a winning team, you’ll work hard, challenge the status quo, and bring a growth mindset. Here, your strengths are recognized, your development matters, and your wins celebrated.

The Sr Data & Insights Analyst plays a pivotal role in driving strategic growth and improving business outcomes for DentalPlans.com, a leading online marketplace for dental savings plans that empowers consumers to access affordable dental care.

As part of the Analytics team, you’ll partner with cross-functional stakeholders across Marketing, Product, Contact Center Operations, and Technology to deliver data-driven insights that inform key business decisions. You’ll be a key contributor in enabling, maturing, and scaling DentalPlans’ analytical capabilities as the foundation for continued growth.

Your work will span key areas across the business, including digital marketing performance, contact center sales and support optimization, customer segmentation, engagement, and retention, and financial and operational analytics and forecasting. You will collaborate closely with business stakeholders to understand core processes, challenges, and opportunities, and develop ad hoc analytics, dashboards, forecasts, segmentation strategies, and predictive models to uncover actionable insights across the entire customer lifecycle.

Success in this position requires a blend of business and technical skills, strong analytical and critical thinking, and the ability to connect data to meaningful business outcomes.

This role is remote within the United States with up to 10% travel as needed.

What You Will Do

• Analyze acquisition, sales, engagement, retention, and operational data and related customer behavior and outcomes to identify opportunities for optimization and growth
• Develop ad hoc and production dashboards, reports, visualizations, and other analyses to monitor key performance indicators and identify trends, drivers, anomalies, and areas for improvement
• Query, prepare, explore, and leverage data across our internal data warehouse, CRM, contact center, and digital analytics platforms to synthesize actionable insights and inform business decisions
• Develop and maintain sales forecasts and contribute to broader operational and revenue forecasting that informs planning and budgeting
• Analyze subscription, billing, and payment data to track trends and surface opportunities for improvement
• Conduct operational analysis across the member lifecycle – acquisition, onboarding, retention, and support – to identify root causes and improvement opportunities
• Build advanced Excel models and analyses for ad hoc business questions and scenario planning

What We Are Looking For

Experience & Education

• 5+ years of experience as a business or data analyst, preferably with a digitally focused, direct-to-consumer subscription-based model
• Bachelor’s Degree in a related field such as business, statistics, economics, or a quantitative discipline is preferred; equivalent professional experience will also be considered in lieu of a degree

Analytical & Technical Skills

• Analytically curious and insight-driven, with a passion for connecting the dots across data to improve business outcomes and enable growth
• Proficient in SQL for querying large, complex data sets, and in R (or similar) for statistical analysis, forecasting, and business scenario modeling
• Experience with data visualization/BI tools such as Domo or Power BI
• Comfortable using AI tools (Copilot, Claude, and/or Cursor) to accelerate analysis, automate repetitive tasks, and surface insights faster, with genuine enthusiasm for adopting new AI capabilities as they emerge
• Skilled at translating business needs into data requirements, key metrics, and actionable insights that support strategic decision-making
• Experience designing experimental testing methodologies to identify and quantify the drivers and impact of product, marketing, and operational changes

Communication & Collaboration

• Excellent verbal and written communication skills, with the ability to distill complex findings into clear, actionable presentations for non-technical stakeholders at all levels
• Excellent interpersonal and conflict-resolution skills, with the ability to build trust across teams and communicate constructively even when findings challenge assumptions

Organization & Execution

• Highly organized with excellent time management skills
• Able to manage multiple projects and shifting priorities in a fast-paced, dynamic environment while maintaining quality and accuracy

What you’ll gain as a #TeamSchein member

The posted range for this position is $75,000 - $105,000, which is the expected starting salary range for an employee who is new to the role to fully proficient in the role. Many factors go into determining employee pay within the posted range including prior experience, current skills, location/labor market, internal equity, etc. This position is eligible for a bonus target not reflected in the range.

A robust benefits package including health coverage, retirement savings with company match, paid time off, parental leave, wellbeing resources, education support, and MORE!

Henry Schein, Inc. is an Equal Employment Opportunity Employer and does not discriminate against applicants or employees on the basis of race, color, religion, creed, national origin, ancestry, disability that can be reasonably accommodated without undue hardship, sex, sexual orientation, gender identity, age, citizenship, marital or veteran status, or any other legally protected status.

Unfortunately, Henry Schein One is not currently hiring individuals residing in Delaware, Hawaii, North Dakota, Rhode Island, Vermont, Puerto Rico, and other US territories.

Napkyn Summary:

We believe in a world where data stimulates growth, creativity and inspiration. A world where people and technology work in concert to create new outcomes, new opportunities, and new customer connections.

We believe that data, harnessed properly, can spark powerful consumer insights, business transformation and marketing innovation.

We are a full stack Google partner with a 14 year track record of delivering solutions to leading brands across multiple industries.

As a Kepler Group company, Napkyn draws from Kepler’s strategic, technology- and data-driven marketing expertise to provide world-class Google marketing support.

The Napkyn team is guided by Kepler’s values:

• Kepler prides itself on being a great place to work.  In fact, we’re proud to share that AdAge just recognized Kepler as the #7 Best Place to Work”, validating our investment in our team and our clients.
• We’re transparent with our employees. You’ll hear updates on company financials, how we’re performing against bonus goals, and how we’re responding to challenges we face.
• We’re growing. For you, that means unparalleled growth opportunities and a role in shaping the direction of the company.
• We’re fun, authentic, empathetic, and ever-in-motion. You’ll work with and learn from the smartest people in the industry and have a blast doing it.
• We’re human. You’ll have an option to join Employee Resource Groups, DEI initiatives, and altruism efforts to bring positive societal impact.

About the role:

As a Senior Analytics Implementation Specialist, you understand a client’s business and marketing requirements for digital measurement and translate them into sophisticated guides to help IT and development teams strategically implement enterprise-wide digital analytics and tag management solutions.

This involves consulting IT departments and senior executive stakeholders, guiding them through implementation recommendations, performing exacting quality assurance on implementations, and providing training and ongoing services for their long term success.

Versatile and curious, you understand what technical rigour really looks like, but you’re driven by the value you create. You welcome collaboration with analysts, account executives and project managers alike to develop end-to-end solutions for our customers.

You engage in continuous professional development to evolve your craft, and are as happy to share what you learn with the rest of the team as you are to learn from them.

Primary Responsibilities:

• Stay up to date with industry trends and technology developments.
• Perform client-facing tasks such as presenting insights or providing training.
• Collaborate with a cross-functional team to foster data-driven strategy and execution.
• Deploy web and app measurement tools, such as Google Analytics.
• Provide support on analytics and implementation for Napkyn analysts with root-cause analysis of issues and interruptions in measurement for our clients.
• Provide recommendations on adoption of new tools and features as appropriate to client needs.
• Serve as a resource for the latest trends and technologies within the digital analytics space.
• Assist in improving the usability, efficiency, and overall effectiveness of our clients’ digital analytics tooling deployments.
• Assist in evaluating the size and scope of customer problems as well as helping to determine a successful resolution.
• Lead the team with site-wide audits of existing analytics implementations against web and app measurement best practices and create implementation recommendations for improvement.
• Develop app and web measurement best practices and on-site technology requirements to generate high quality, easily-understood implementation guides for on-site deployments of Google Analytics.
• Engage business and technical team stakeholders for feedback and validation.
• Actively focus on the future-proofing, scalability, and ease of maintenance in all solutions.
• Provide recommendations on adoption of new tools and features as appropriate to the client’s needs.
• Participate in user testing with the internal team to ensure that components meet requirements for functionality and ease of use.
• Develop and maintain an understanding of automation capabilities within the digital analytics platforms, tag managers and related software employed by the Data Solutions team.
• Identify and contribute to the design of new internal tools and capabilities on the product roadmap, representing the Data Solutions team.
• Develop an understanding of the deployment infrastructure behind Napkyn’s toolchain and contribute to its ongoing maintenance.

Required Skills & Experience:

• Proficient in reading and writing JavaScript, in the context of both analytics deployments and web-based user interfaces.
• A strong understanding of web technologies, in general.
• Experience with tag management systems such as Google Tag Manager, Tealium, Adobe Launch, etc.
• Experience with server-side tag management.
• Experience with ecommerce implementation for Google Analytics.
• Experience with Quality Assurance processes in digital analytics and app development.
• Ability to effectively communicate with developers internally and in client organizations.
• Strong critical thinking and problem-solving skills with attention to detail.
• Strong writing and communication skills.
• Team player, supportive of a collaborative team environment and culture.
• Ability to prioritize projects and handle multiple tasks efficiently.
• Comfort with or interest in presenting and speaking in front of small groups, most importantly in client meetings.

Preferred Skills & Experience:

As technology evolves rapidly, the field of digital analytics has broadened. Our implementation specialists are expected to build a widening range of skills through their work. Upon joining, a senior implementation specialist should have some of the following skills, knowledge or experience:

• Familiarity with deploying and testing analytics tools in mobile apps for iOS and Android devices, especially using the Firebase SDK.
• Experience with development environments, tools and processes for building software.
• Certification in one or more Google Marketing Platform products.
• Competency writing code in JavaScript, Python, Kotlin, Swift, Java or similar programming languages, in the context of web development, app development, or task automation.
• Experience with Firebase app development or Google Cloud Platform more broadly.
• Experience with product development or DevOps processes.

Reporting directly to: Director, Data Solutions

Location: Remote - based in Canada

Napkyn  welcomes and encourages applications from people with disabilities.  Accommodations are available upon request for applicants in all aspects of the selection process. We are committed to diversity of background, thought and experience, and we work to create an environment in which all our employees thrive by bringing their authentic self to work.

Kepler is a people first organization. If this role piques your interest but you may not check every box, we still encourage you to apply! Studies show that imposter syndrome can prevent women and people of color from applying unless they meet every single qualification. We welcome all who are interested to apply, you just might be a great candidate for this role or others.

Protect yourself from recruitment fraud. The only way to apply for a position at Kepler is by submitting a direct application via the Keplergrp.com website or working with a recruiter employed by Kepler with a @keplergrp.com email address. Learn how to stay safe by clicking here

Shape what’s next in dental technology.

Join Henry Schein One!

Join a global leader redefining dental practice management and do work that actually matters. At Henry Schein One, we are a team of care catalysts: people who fuel innovation, challenge the status quo, and bring an entrepreneurial mindset to everything we do. Your ideas fuel innovation that enhances patient care and drives real results for practices.

We don’t just talk about impact; we build it! Backed by a trusted reputation, our leaders foster an inclusive and supportive environment where we stay solely focused on our mission, empowering you to think boldly, collaborate creatively, and grow. We have high expectations for performance and delivering results; as part of a winning team, you’ll work hard, challenge the status quo, and bring a growth mindset. Here, your strengths are recognized, your development matters, and your wins celebrated.

The Sr Data & Insights Analyst plays a pivotal role in driving strategic growth and improving business outcomes for DentalPlans.com, a leading online marketplace for dental savings plans that empowers consumers to access affordable dental care.

As part of the Analytics team, you’ll partner with cross-functional stakeholders across Marketing, Product, Contact Center Operations, and Technology to deliver data-driven insights that inform key business decisions. You’ll be a key contributor in enabling, maturing, and scaling DentalPlans’ analytical capabilities as the foundation for continued growth.

Your work will span key areas across the business, including digital marketing performance, contact center sales and support optimization, customer segmentation, engagement, and retention, and financial and operational analytics and forecasting. You will collaborate closely with business stakeholders to understand core processes, challenges, and opportunities, and develop ad hoc analytics, dashboards, forecasts, segmentation strategies, and predictive models to uncover actionable insights across the entire customer lifecycle.

Success in this position requires a blend of business and technical skills, strong analytical and critical thinking, and the ability to connect data to meaningful business outcomes.

This role is remote within the United States with up to 10% travel as needed.

What You Will Do

• Analyze acquisition, sales, engagement, retention, and operational data and related customer behavior and outcomes to identify opportunities for optimization and growth
• Develop ad hoc and production dashboards, reports, visualizations, and other analyses to monitor key performance indicators and identify trends, drivers, anomalies, and areas for improvement
• Query, prepare, explore, and leverage data across our internal data warehouse, CRM, contact center, and digital analytics platforms to synthesize actionable insights and inform business decisions
• Develop and maintain sales forecasts and contribute to broader operational and revenue forecasting that informs planning and budgeting
• Analyze subscription, billing, and payment data to track trends and surface opportunities for improvement
• Conduct operational analysis across the member lifecycle – acquisition, onboarding, retention, and support – to identify root causes and improvement opportunities
• Build advanced Excel models and analyses for ad hoc business questions and scenario planning

What We Are Looking For

Experience & Education

• 5+ years of experience as a business or data analyst, preferably with a digitally focused, direct-to-consumer subscription-based model
• Bachelor’s Degree in a related field such as business, statistics, economics, or a quantitative discipline is preferred; equivalent professional experience will also be considered in lieu of a degree

Analytical & Technical Skills

• Analytically curious and insight-driven, with a passion for connecting the dots across data to improve business outcomes and enable growth
• Proficient in SQL for querying large, complex data sets, and in R (or similar) for statistical analysis, forecasting, and business scenario modeling
• Experience with data visualization/BI tools such as Domo or Power BI
• Comfortable using AI tools (Copilot, Claude, and/or Cursor) to accelerate analysis, automate repetitive tasks, and surface insights faster, with genuine enthusiasm for adopting new AI capabilities as they emerge
• Skilled at translating business needs into data requirements, key metrics, and actionable insights that support strategic decision-making
• Experience designing experimental testing methodologies to identify and quantify the drivers and impact of product, marketing, and operational changes

Communication & Collaboration

• Excellent verbal and written communication skills, with the ability to distill complex findings into clear, actionable presentations for non-technical stakeholders at all levels
• Excellent interpersonal and conflict-resolution skills, with the ability to build trust across teams and communicate constructively even when findings challenge assumptions

Organization & Execution

• Highly organized with excellent time management skills
• Able to manage multiple projects and shifting priorities in a fast-paced, dynamic environment while maintaining quality and accuracy

What you’ll gain as a #TeamSchein member

The posted range for this position is $75,000 - $105,000, which is the expected starting salary range for an employee who is new to the role to fully proficient in the role. Many factors go into determining employee pay within the posted range including prior experience, current skills, location/labor market, internal equity, etc. This position is eligible for a bonus target not reflected in the range.

A robust benefits package including health coverage, retirement savings with company match, paid time off, parental leave, wellbeing resources, education support, and MORE!

Henry Schein, Inc. is an Equal Employment Opportunity Employer and does not discriminate against applicants or employees on the basis of race, color, religion, creed, national origin, ancestry, disability that can be reasonably accommodated without undue hardship, sex, sexual orientation, gender identity, age, citizenship, marital or veteran status, or any other legally protected status.

Unfortunately, Henry Schein One is not currently hiring individuals residing in Delaware, Hawaii, North Dakota, Rhode Island, Vermont, Puerto Rico, and other US territories.

A Leega é uma empresa focada no atendimento eficiente e inovador em seus clientes.

About Coursera Coursera and Udemy are now one company, creating one of the world’s most comprehensive skills development platforms for the AI era. This strengthens our ability to accelerate AI-powered...

About Coursera Coursera and Udemy are now one company, creating one of the world’s most comprehensive skills development platforms for the AI era. This strengthens our ability to accelerate AI-powered...

Headquarters: Sweden
URL: http://career.proxify.io

The Role:

We are looking for a Senior Data Scientist for one of our clients. You are a perfect candidate if you are growth-oriented, you love what you do, and you enjoy working on new ideas to develop exciting products and growth features.

 

What we are looking for:

• 5+ years of hands-on experience in Data Science field
• Experience using SAS, SQL, R and/or Python
• Experience with Business Intelligence tools like Qlik/Tableau/Power BI is highly desirable
• Strong stakeholder management skills including advanced PowerPoint and presentation skills
• Exposure to Big Data technologies like Hadoop, Spark, Hive etc. is a plus
• Applied knowledge of data science techniques
• Hands-on experience in data mining and application of machine learning techniques
• Located in CET timezone (+/- 3 hours), we are unable to consider applications from candidates in other time zones.

 

Responsibilities:

• Develop tools to process data streams and static data
• Translate business challenges into data science problems and applications
• Communicate complex solutions in a clear, understandable way to non-experts
• Design algorithms, build models and prototype solutions for multiple business areas
• Build and maintain software solutions while contributing to large-scale object-oriented applications
• Work on evolving data architectures and system solutions
• Abstract complex business problems and determine how to use a combination of data to provide a clear, actionable and business-driven answer in a clear, compelling way

What we offer:

  Get paid, not played No more unreliable clients. Enjoy on-time monthly payments with flexible withdrawal options.


Predictable project hours Enjoy a harmonious work-life balance with consistent 8-hour working days with clients.


Flex days, so you can recharge Enjoy up to 24 flex days off per year without losing pay, for full-time positions found through Proxify.


Career-accelerating positions at cutting-edge companies Discover exclusive long-term remote positions at the world's most exciting companies.


Hand-picked opportunities just for you Skip the typical recruitment roadblocks and biases with personally matched positions.


One seamless process, multiple opportunities A one-time contracting process for endless opportunities, with no extra assessments.


Compensation Enjoy the same pay, every month with positions landed through Proxify.

To apply: https://weworkremotely.com/remote-jobs/proxify-ab-senior-data-scientist-2

Under limited supervision, the Business Intelligence Analyst will champion and provide leadership, and support for the ongoing design, development, and advancement of diverse BI/Data Analytics pursuits focused on data warehousing, data mining, data structuring, data analytics, advanced visualization, and related technologies in furthering the missions of UT Health San Antonio.

Headquarters: San Francisco, CA, New York, NY, Portland, OR, or Remote within Canada or United States

We’re looking for a Customer Support Systems & Analytics Architect to own the data strategy and reporting function within the Customer Support organisation at Mercury. As our operations grow in complexity—spanning multiple channels, an expanding BPO model, and sophisticated AI automation—we are moving away from fragmented, project-based data support toward a model of holistic ownership.

In this role, you will be responsible for how we capture, structure, and connect data across our CS systems - including Zendesk and our AI Agent - to drive informed decision-making across the team. You will ensure our systems are configured in a way that produces reliable, high-quality data, and you will translate that data into actionable insights for CS leadership and stakeholders. You’ll sit at the intersection of data, operations, and customer experience, partnering closely with CS leadership, Strategy and Ops, and cross-functional teams like Data to make sure our reporting infrastructure is built to scale. Your work will be foundational to how the CS organisation measures performance, identifies opportunities, and drives decision-making.

 

Key Responsibilities

• Unified reporting and analytics: Actively build and maintain reports and dashboards that give the CS organisation clear visibility into key performance metrics, trends, and performance across channels, teams and projects  - from our internal Support team to our BPO partners. 
• CS Systems configuration and data governance: Work closely with systems admins to advise on the structural setup of our Zendesk instance across customer-facing teams, ensuring it is configured to generate clean, consistent, and reliable data while maintaining secure systems and efficient workflows.
• Data hygiene standards: Define and enforce standards for how data is captured across CS systems so that reporting is accurate, trustworthy, and reproducible
• AI automation data oversight: Monitor and analyse data from our AI chatbot, ensuring it is tracked in a way that supports quality reviews and decision-making across the CS organisation
• Insights to action: Translate raw data and reporting into clear recommendations that help CS leadership make decisions on resourcing, tooling, process improvements, and strategy
• Stakeholder support: Partner with cross-functional partners in areas like Product, Data and Strategic Finance to understand their data needs and deliver reporting that supports their goals
• Systems evaluation: Assess the data capabilities of existing and new CS tools, and make recommendations on how to optimise our systems stack for better reporting outcomes
• Process documentation: Document data structures, reporting methodologies, and system configurations to ensure institutional knowledge is retained and accessible across the team

What You Bring to the Table

• 5-8 years of experience in a data analyst, business intelligence, or systems analyst role, ideally within a customer support or operations environment
• Hands-on experience with Zendesk administration and configuration, including views, fields, triggers, and reporting, as well as using Zendesk Analytics to build reports and dashboards
• Fluency in SQL and experience working with data and BI tools such as Omni, Metabase, or similar
• Strong analytical thinking with the ability to turn complex datasets into clear, actionable insights
• Experience building and maintaining dashboards and reports for non-technical stakeholders
• Deep understanding of data hygiene principles and how system configuration impacts data quality
• Excellent communication skills, with the ability to present data findings clearly to stakeholders at all levels
• Collaborative mindset with experience working cross-functionally across teams such as Operations, Product, and Engineering

The Ideal Candidate Will Also Have

• Experience working with AI chatbot or conversational analytics platforms
• Familiarity with other CS tools such as Intercom, Guru, or Rippit (formerly known as MaestroQA)
• Experience working in a high-growth SaaS or fintech environment
• Background in supporting data-driven workforce planning or CS strategy initiatives

 

The total rewards package at Mercury includes base salary, equity (stock options/RSUs), and benefits.

Our salary and equity ranges are highly competitive within the SaaS and fintech industry and are updated regularly using the most reliable compensation survey data for our industry. New hire offers are made based on a candidate’s experience, expertise, geographic location, and internal pay equity relative to peers.

Our target new hire base salary ranges for this role are the following:

• US employees in New York City, Los Angeles, Seattle, or the San Francisco Bay Area: $154,200 - $192,800
• US employees outside of New York City, Los Angeles, Seattle, or the San Francisco Bay Area: $138,800 - $173,500
• Canadian employees (any location): CAD $145,800 - $182,200

 

Mercury values diversity & belonging and is proud to be an Equal Employment Opportunity employer. All individuals seeking employment at Mercury are considered without regard to race, color, religion, national origin, age, sex, marital status, ancestry, physical or mental disability, veteran status, gender identity, sexual orientation, or any other legally protected characteristic. We are committed to providing reasonable accommodations throughout the recruitment process for applicants with disabilities or special needs. If you need assistance, or an accommodation, please let your recruiter know once you are contacted about a role.

#LI-AS1

 

To apply: https://weworkremotely.com/remote-jobs/mercury-customer-support-systems-analytics-architect

About Mixpanel

Mixpanel is the leading product intelligence and analytics platform, trusted by more than 29,000 companies to help understand how people use the products they build. By combining powerful analytics with AI that knows your business, Mixpanel helps teams see what’s working, diagnose what’s not, and decide what to build next. Learn more at mixpanel.com.

About the Team

The Proactive Insights team is a newly formed team at the center of Mixpanel’s AI-first analytics vision. With a greenfield charter, we’re building the intelligent layer that transforms Mixpanel from a tool you query into a partner that works for you.

We answer the question every data-driven team asks: “What changed, why, and what should I do about it?” We proactively keep users informed about what matters in their data, delivering the right insights and recommendations at the right time, to the right places, both inside and outside of Mixpanel.

Some examples of what we are building:

• Signals: Statistical analysis that automatically identifies which user behaviors cause downstream business outcomes — such as which actions genuinely improve 30-day retention — using causal inference to move beyond correlation
• Forecasting: Time-series modeling that projects whether a KPI (e.g. Signups) will hit its goal by end of quarter — including trend decomposition, seasonality adjustment, and confidence bands against a target.
• Simulation: Causal impact modeling that estimates how moving one metric (e.g. weekly sharing rate) by a given amount will ripple through to downstream KPIs like retention or revenue — giving teams a quantified basis for prioritization
• Cohort Detection: Automated identification of at-risk user cohorts by finding active users who resemble known churned segments across both behavioral patterns and descriptive characteristics, before they churn. Offline batch survival analysis models that estimate each user’s probability of a future outcome (e.g. likelihood to churn or convert within 30 days).

About the Role

As the first Data Scientist embedded in product engineering, you’ll champion integrating cutting-edge data science techniques into Mixpanel’s products and serve as a methodological resource for cross-functional teams tackling problems that benefit from deeper DS expertise — such as adaptive experimentation. You won’t just advise on Proactive Insights; you’ll be the analytical brain driving how Signals, Forecasting, Simulation, Predictions, and Cohort Detection actually work.

Your models are the reasoning layer behind an AI system that proactively tells customers what changed, why, and what to do next — and increasingly, the layer behind an agent that acts on their behalf. As more of this experience becomes agentic, rigorous causal grounding is what separates a trustworthy recommendation from a plausible-sounding one. You’ll be the person who makes sure it’s the former.

You’ll design and validate causal inference approaches that go beyond surface-level correlation, and partner on how those outputs get translated — often via LLMs — into clear, natural-language, actionable experiences for Mixpanel’s customers: you own the rigor, the system owns the explanation. You’ll partner closely with strong product engineers who own the implementation — your job is to make sure the methodology is rigorous, well-documented, and grounded in real outcomes. You’ll also collaborate cross-functionally with teams like AI platform, analysis, and data infrastructure to scale your analytic solutions beyond what you could build alone.

This is a high-impact, high-autonomy role on a small, fast-moving team. You’ll have significant influence over the analytical direction of a new product category at Mixpanel that helps thousands of companies understand what truly drives their most important metrics.

Responsibilities

• Own the end-to-end analytical design for Signals, Forecasting, Simulation, and Cohort Detection — including methodology selection, statistical validation, and iteration based on results
• Assess data quality and trust prerequisites before extending forecasting or predictive features to customers — a model is only as trustworthy as the data feeding it
• Design and apply causal inference methods to move beyond correlation and establish which user behaviors genuinely drive downstream business outcomes
• Build and own time-series forecasting models that project KPI trajectories against goals — extending our existing use of TimesFM into customer-facing forecasting features
• Build survival analysis and retention models that underpin Signals and Simulation outputs
• Develop clustering and behavioral similarity approaches for Cohort Detection that are both statistically sound and interpretable to end users
• Document methodology clearly — including assumptions, validation approaches, and expected output behavior — so engineers can implement reliably without ambiguity
• Review and validate that production results match expected statistical behavior, partnering with engineers on edge cases and anomalies
• Establish rigor around statistical significance, multiple testing correction, and uncertainty quantification so customers can trust what they see
• Work cross-functionally with internal stakeholders, including Finance and Data Science, to ensure analytical outputs are grounded in real business outcomes
• Communicate findings and methodology clearly to Product and Engineering — translating statistical concepts into plain language

We’re Looking For Someone Who Has

• MS or PhD in Statistics, Economics, Mathematics, or a related quantitative field — or equivalent industry experience with demonstrated causal inference expertise
• 5+ years of experience applying statistical modeling to real-world product or business problems
• Hands-on causal inference experience — propensity score matching, regression discontinuity, difference-in-differences, or instrumental variables — with the judgment to choose the right method for a given problem
• Experience with survival analysis or retention modeling (e.g. Cox proportional hazards, Kaplan-Meier)
• Strong Python fluency across the analytical stack — statsmodels, scikit-learn, pandas, and equivalent libraries for survival analysis, clustering, and time-series modeling
• Experience with time-series forecasting methods — classical approaches (ARIMA, exponential smoothing) and/or modern foundation models such as TimesFM, Chronos, or similar
• Experience with clustering and similarity methods applied to behavioral or user data
• Strong statistical communication — you can explain a propensity score or a survival curve to a PM without losing them
• SQL fluency for data access, exploration, and validation
• Comfort working in a product environment where analytical rigor and practical delivery go hand in hand

Bonus Points For

• Experience working with large-scale behavioral event data (product analytics, growth, or similar domains)
• Familiarity with feature engineering from raw event streams
• Experience with structural equation modeling or causal DAGs for multi-metric impact modeling (directly applicable to Simulation)
• Familiarity with how offline batch analyses are productionized, even if you’re not implementing them yourself
• Comfort working directly in a production codebase alongside engineers
• Experience at an analytics, observability, or growth platform
• Experience evaluating or grounding LLM-generated explanations or recommendations against statistical outputs (e.g. hallucination or consistency checks on AI-generated insights)
• Comfort using AI coding tools (Claude Code, Cursor, etc.) to accelerate modeling iteration

Compensation

The amount listed below is the total target cash compensation (TTCC) and includes base compensation and variable compensation in the form of either a company bonus or commissions. Variable compensation type is determined by your role and level. In addition to the cash compensation provided, this position is also eligible for equity consideration and other benefits including medical, vision, and dental insurance coverage. You can view our benefits offerings here.

Our salary ranges are determined by role and level and are benchmarked to the SF Bay Area Technology data cut released by Radford, a global compensation database. The range displayed represents the minimum and maximum TTCC for new hire salaries for the position across all of our US locations. To stay on top of market conditions, we refresh our salary ranges twice a year so these ranges may change in the future. Within the range, individual pay is determined by experience, job-related skills, qualifications, and other factors. If you have questions about the specific range, your recruiter can share this information.

Mixpanel Compensation Range

$226,000—$266,000 USD

Benefits and Perks

• Comprehensive Medical, Vision, and Dental Care
• Mental Wellness Benefit
• Generous Vacation Policy & Additional Company Holidays
• Enhanced Parental Leave
• Volunteer Time Off
• Additional US Benefits: Pre-Tax Benefits including 401(K), Wellness Benefit, Holiday Break

*please note that benefits and perks for contract positions will vary*

Culture Values

• Make Bold Bets: We choose courageous action over comfortable progress.
• Innovate with Insight: We tackle decisions with rigor and judgment - combining data, experience and collective wisdom to drive powerful outcomes.
• One Team: We collaborate across boundaries to achieve far greater impact than any of us could accomplish alone.
• Candor with Connection: We build meaningful relationships that enable honest feedback and direct conversations.
• Champion the Customer: We seek to deeply understand our customers’ needs, ensuring their success is our north star.
• Powerful Simplicity: We find elegant solutions to complex problems, making sophisticated things accessible.

Why choose Mixpanel?

We’re a leader in analytics with over 9,000 customers and $277M invested from prominent investors: like Andreessen-Horowitz, Sequoia, YC, and, most recently, Bain Capital. Mixpanel’s pioneering event-based data analytics platform offers a powerful yet simple solution for companies to understand user behaviors and easily track overarching company success metrics. Our accomplished teams continuously facilitate our expansion by tackling the ever-evolving challenges tied to scaling, reliability, design, and service. Choosing to work at Mixpanel means you’ll be helping the world’s most innovative companies learn from their data so they can make better decisions.

Mixpanel is an equal opportunity employer supporting workforce diversity. At Mixpanel, we are focused on things that really matter—our people, our customers, our partners—out of a recognition that those relationships are the most valuable assets we have. We actively encourage women, people with disabilities, veterans, underrepresented minorities, and LGBTQ+ people to apply. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity or expression, sexual orientation, age, marital status, veteran status, or disability status. Pursuant to the San Francisco Fair Chance Ordinance or other similar laws that may be applicable, we will consider for employment qualified applicants with arrest and conviction records. We’ve immersed ourselves in our Culture and Values as our guiding principles for the impact we want to have and the future we are building.