Senior Product Analytics Consultant

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Signify Health

πŸ’΅ $64k-$110k
πŸ“Remote - Worldwide

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+ years 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
This job is filled or no longer available

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