Senior Data Analyst

🕒 April 8

⛷️ Utah – Remote

⛷️ Utah – Remote

⏰ Full Time

🟠 Senior

📉 Data Analyst

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Progressive Leasing

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 1999

🛒 Retail

💸 Finance

💳 Fintech

Retail • Finance • Fintech

Progressive Leasing is a company that offers lease-to-own purchase options for consumers who may have less-than-perfect credit. They provide a convenient and flexible way for customers to acquire items such as furniture, electronics, jewelry, tires and wheels, mobile devices, appliances, and mattresses from thousands of retail locations nationwide. Their underwriting process considers various data points like income and banking history instead of relying solely on credit scores, allowing more people to be approved. With automatic payment scheduling options, customers can align payments with their paydays, enhancing ease and affordability.

📋 Description

• 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

🏖️ Benefits

• 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