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Senior Data Analyst

πŸ•’ July 10

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Logo of Purchasing Power

Purchasing Power

201 - 500 employees

Founded 2001

πŸ‘₯ HR Tech

πŸ’³ Fintech

🀝 B2B

HR Tech β€’ Fintech β€’ B2B

Purchasing Power is an employer-focused benefits company that offers a payroll-deduction purchase program allowing employees to buy essential products and services with transparent, interest-free, all-in-one pricing and repayment through payroll. Since 2001 the company has provided a voluntary benefit that integrates with employers' payroll and HR systems, targets financial wellness by reducing financial stress and retirement plan withdrawals, and includes budgeting tools and a large catalog of products and services for employees who may lack traditional credit access.

πŸ“‹ Description

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

🎯 Requirements

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

πŸ–οΈ Benefits

β€’ Competitive Compensation β€’ Full Health Benefits (Medical, Dental, Vision, Life Insurance) β€’ Paid Time Off, Paid Holidays, and Paid Volunteer Time β€’ Company-Matched 401(k) β€’ Tuition Reimbursement β€’ Employee Resource & Diversity Groups β€’ Charitable Gift Matching β€’ Job-required equipment and services provided

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