Senior Data Analyst - Remote

Purchasing PowerRemote - UT, UT
Remote

About The Position

Purchasing Power is a leading employee purchase program that helps people buy the products and services they need through the convenience of payroll deduction. As part of PROG Holdings (NYSE: PRG), a FinTech holding company with more than 20 years of experience, we’re focused on building simple, responsible financial solutions that put people first. PROG Holdings’ portfolio includes Progressive Leasing, a market leader in lease‑to‑own solutions, Purchasing Power, and Four, a Buy Now Pay Later (BNPL) platform — all united by a commitment to innovation, access, and meaningful impact. 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. You will partner closely with product, design, engineering, marketing, and business teams to uncover opportunities, quantify impact, and influence strategic decisions.

Requirements

  • 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

Nice To Haves

  • 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

Responsibilities

  • 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
  • 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
  • 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
  • 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

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
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