Senior Data Analyst - Remote
Progressive Leasing
4d ago
0DataUnited Stateshimalayas
Data-AnalysisProduct-AnalyticsBusiness-IntelligenceData-ScienceProduct-ManagementSenior
Job Description
Progressive Leasing is a leading provider of in-store and e-commerce lease-to-own solutions. With more than 20 years in FinTech, we’ve grown from start-up to industry leader by innovating, simplifying, and valuing people. We are a subsidiary of PROG Holdings (NYSE: PRG), a FinTech holding company with three business segments: Progressive Leasing, Purchasing Power (a leading employee purchase program for consumer products and services using payroll deduction), and Four, a Buy Now Pay Later (BNPL) platform.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.Employee Value Proposition (EVP): PROG is dedicated to providing people with opportunity—opportunity for inclusive collaboration, opportunity for innovation, and opportunity for development.WE ARE: 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.YOU ARE: A curious and self-driven analyst who takes initiative to explore data, challenge assumptions, and uncover insights others might miss. You don’t just respond to requests—you proactively identify questions, investigate root causes, and surface opportunities.You are comfortable working in environments where data may be incomplete, ambiguous, or evolving, and can still produce meaningful insights and direction. You balance speed with rigor—delivering timely insights while maintaining analytical integrity.You are motivated by understanding how customers move through conversion funnels and where they encounter friction, and you can translate detailed analysis into clear, actionable recommendations.YOUR DAY-TO-DAY:Conversion & Funnel AnalysisAnalyze the end-to-end customer journey, identifying key conversion drivers, drop-offs, and friction points across web, mobile, and internal systemsPerform deep-dive analyses on funnel performance, cohorts, and customer segments to uncover actionable opportunitiesPartner with product teams to evaluate experiments and feature performance, ensuring sound interpretation of test resultsStrategic Product InsightsTranslate complex, cross-platform data into clear, actionable recommendations that improve conversion and customer experienceDefine and refine KPIs that measure funnel performance and product impactConnect insights across systems to provide a holistic view of customer behavior and business outcomesData & Analytical ExecutionWork with large datasets across Snowflake, HEAP analytics, Amperity CDP, and internal systems.Write and optimize complex SQL queries to support analysis and reportingCombine and validate data from multiple sources, navigating inconsistencies and gaps where neededCross-Functional PartnershipCollaborate closely with product, design, engineering, marketing, and operations teamsCommunicate insights clearly to both technical and non-technical stakeholdersHelp establish shared definitions and measurement frameworks for conversion and performanceYOU’LL BRING:Bachelor’s degree in quantitative field (e.g., Computer Science, Statistics, Economics, Mathematics)5+ years of experience in product or data analyticsStrong experience analyzing conversion funnels and customer behaviorAdvanced 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 systemsSolid understanding of A/B testing principles and interpreting experimental resultsDemonstrated ability to take initiative, navigate ambiguity, and deliver insights that drive business impactStrong communication skills with the ability to influence decisions through dataPREFERRED EXPERIENCE:Experience working with cross-platform data (web, app, CRM, and operational systems)Familiarity with customer lifecycle analytics and funnel optimizationExposure to data modeling, pipelines, or ETL processesWE OFFER:Competitive CompensationFull Health Benefits (Medical, Dental, Vision, Life Insurance)Paid Time Off, Paid Holidays, and Paid Volunteer TimeCompany-Matched 401(k)Tuition ReimbursementEmployee Resource & Diversity GroupsCharitable Gift MatchingJob-required equipment and services providedProgressive Leasing welcomes and e
