Senior Product Analytics Associate

Summary

Join Signify Health as a Senior Product Analyst to lead the development and execution of a data-driven product roadmap. This remote role requires occasional travel and involves collaborating with cross-functional teams. You will define and track product metrics, build Power BI dashboards, champion A/B testing, and communicate insights to various stakeholders. The ideal candidate possesses a strong analytical background, experience with data analysis tools, and excellent communication skills. Signify Health offers a competitive salary, comprehensive benefits, and opportunities for professional development.

Requirements

• Bachelor’s degree in Statistics, Data Science, Business Analytics, Economics, Computer Science, Engineering, or a related technical field
• 5+ of experience in a technical product analytics or data science role, with a proven track record of influencing product decisions through technical insights
• Build, develop and maintain dashboards and performance metrics that support key business decisions
• Experience with A/B testing, funnel analysis, and other statistical analysis methods, including regression, clustering, classification, and predictive modeling
• Advanced proficiency in SQL, and experience with Python or R for data analysis and modeling
• Proven ability to translate complex analyses into technical and actionable insights for various stakeholders
• Excellent oral and written communication skills; ability to present complex information in an understandable and compelling manner

Responsibilities

• Develop an expert level understanding of Signify’s core product offerings and analytics technology
• Define, track, report out, and explain product metrics including performance and profitability
• Build and maintain Power BI dashboards and reports to track product health, highlight insights, and monitor the success of product initiatives
• Become a key partner with Product, Engineering, Operations and Analytics teams to drive key Signify objectives
• Be a champion of A/B testing and help stakeholders throughout the company design, analyze, and interpret A/B tests correctly. Able to use alternative causal inferences techniques when A/B testing is not feasible
• Develop ROI projections for analytics projects to prioritize analytics deliverables by impact to the business
• Communicate progress, barriers, priority and budget regularly with leadership
• Tell compelling stories through data, articulating technical information to a non technical audience

Preferred Qualifications

• Power BI experience is strongly preferred
• Familiarity with causal inference techniques (e.g., propensity score matching, instrumental variables, difference-in-differences) is a plus
• Experience working with data engineering teams to develop data pipelines and ensure data integrity across multiple systems

Benefits

• Full range of medical, dental, and vision benefits
• 401(k) retirement savings plan
• Employee Stock Purchase Plan
• Education assistance
• Free development courses
• Paid time off programs
• Paid holidays
• CVS store discount
• Discount programs with participating partners