Senior Data Analyst - Remote

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.

About the Role

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.

PROG is dedicated to providing people with opportunity—opportunity for inclusive collaboration, opportunity for innovation, and opportunity for development.

The Product Strategy team at Progressive Leasing is a highly collaborative, cross-functional group responsible for advancing the lease-to-own experience. We use data, experimentation, and customer insights to optimize performance across the full customer lifecycle—from acquisition through approval, checkout, and servicing. Our work is grounded in a unified view of the customer across platforms, enabling us to identify friction, improve conversion, and drive measurable outcomes.

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

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

AI-enabled tools are already part of how work gets done across our organization, and their use will continue to expand over time. We value people who are curious, adaptable, and open to learning as roles and workflows evolve.

Preferred Qualifications

• 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