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Senior Data Analyst

Full-time

Purchasing Power

Role Description

We are currently hiring a Senior Data Analyst to drive high-impact insights that shape product strategy and optimize conversion across the end-to-end customer journey. This role focuses on analyzing and improving key conversion points using detailed, cross-platform data.

  • Partner closely with product, design, engineering, marketing, and business teams to uncover opportunities, quantify impact, and influence strategic decisions.

Employee Value Proposition (EVP): PROG is dedicated to providing people with opportunity—opportunity for inclusive collaboration, opportunity for innovation, and opportunity for development.

YOU ARE:

  • A curious and self-driven analyst who takes initiative to explore data, challenge assumptions, and uncover insights others might miss.
  • Comfortable working in environments where data may be incomplete, ambiguous, or evolving, and can still produce meaningful insights and direction.
  • Motivated by understanding how customers move through conversion funnels and where they encounter friction.
  • Capable of translating detailed analysis into clear, actionable recommendations.

YOUR DAY-TO-DAY:

  • Conversion & Funnel Analysis:
    • Analyze the end-to-end customer journey, identifying key conversion drivers, drop-offs, and friction points across web, mobile, and internal systems.
    • Perform deep-dive analyses on funnel performance, cohorts, and customer segments to uncover actionable opportunities.
    • Partner with product teams to evaluate experiments and feature performance, ensuring sound interpretation of test results.
  • Strategic Product Insights:
    • Translate complex, cross-platform data into clear, actionable recommendations that improve conversion and customer experience.
    • Define and refine KPIs that measure funnel performance and product impact.
    • Connect insights across systems to provide a holistic view of customer behavior and business outcomes.
  • Data & Analytical Execution:
    • Work with large datasets across Snowflake, HEAP analytics, Amperity CDP, and internal systems.
    • Write and optimize complex SQL queries to support analysis and reporting.
    • Combine and validate data from multiple sources, navigating inconsistencies and gaps where needed.
  • Cross-Functional Partnership:
    • Collaborate closely with product, design, engineering, marketing, and operations teams.
    • Communicate insights clearly to both technical and non-technical stakeholders.
    • Help establish shared definitions and measurement frameworks for conversion and performance.

Qualifications

  • Bachelor’s degree in quantitative field (e.g., Computer Science, Statistics, Economics, Mathematics).
  • 5+ years of experience in product or data analytics.
  • Strong experience analyzing conversion funnels and customer behavior.
  • Advanced SQL skills and experience working in data warehouse environments (e.g., Snowflake).
  • Experience with BI and visualization tools (Tableau, Power BI, etc.).
  • Familiarity with product analytics tools (e.g., HEAP) and customer data platforms (e.g., Amperity) or similar systems.
  • Solid understanding of A/B testing principles and interpreting experimental results.
  • Demonstrated ability to take initiative, navigate ambiguity, and deliver insights that drive business impact.
  • Strong communication skills with the ability to influence decisions through data.

Preferred Experience

  • Experience working with cross-platform data (web, app, CRM, and operational systems).
  • Familiarity with customer lifecycle analytics and funnel optimization.
  • Exposure to data modeling, pipelines, or ETL processes.

Benefits

  • Competitive Compensation.
  • Full Health Benefits (Medical, Dental, Vision, Life Insurance).
  • Paid Time Off, Paid Holidays, and Paid Volunteer Time.
  • Company-Matched 401(k).
  • Tuition Reimbursement.
  • Employee Resource & Diversity Groups.
  • Charitable Gift Matching.
  • Job-required equipment and services provided.
Vacancy posted 4 days ago
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