Senior Data Analyst

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're looking for a Senior Data Analyst to provide analysis, insights, and recommendations that drive sales, marketing, pricing, and promotional strategies across the business. This role is responsible for evaluating the effectiveness and profitability of key initiatives, identifying trends and opportunities, and delivering actionable recommendations that support growth and customer engagement.

The ideal candidate brings strong analytical and technical expertise, a passion for solving business problems through data, and the ability to translate complex analyses into meaningful business insights. This position partners closely with Marketing, Merchandising, Finance, Supply Chain, Account Management, and Data Science teams to support strategic decision-making and optimize business performance.

WHAT YOU'LL WORK ON

• Provide data-driven insights and recommendations across sales, marketing, pricing, and promotional activities

• Analyze item-level sales performance, customer behavior, campaign effectiveness, and promotional results to identify opportunities for growth

• Monitor daily, weekly, and monthly sales trends and communicate key business drivers to leadership

• Develop, execute, and measure marketing and promotional tests to generate actionable business insights and evaluate incremental demand and profitability

• Lead customer analytics initiatives, including Customer Lifetime Value (CLTV), customer acquisition, retention, segmentation, and first-time versus repeat buyer analyses

• Build and maintain reporting dashboards and visualizations using Tableau to support business needs and decision-making

• Develop predictive and statistical models that support customer acquisition, engagement, retention, and profitability initiatives

• Automate manual reporting processes and identify efficiencies to improve business operations

• Conduct ad hoc analyses and support enterprise-wide initiatives and special projects as requested by senior leadership

• Partner with cross-functional teams to ensure data accuracy, consistency, and integrity across reporting and analytics processes

• Translate complex data findings into compelling stories and recommendations for business stakeholders

• Provide mentorship, cross-training, and ongoing guidance to junior analysts and offshore team members

WHAT YOU BRING

• Hybrid – 3 days onsite

• Bachelor’s degree in Economics, Mathematics, Finance, Statistics, Analytics, or a related field

• 5+ years of experience in data analytics, business analytics, or marketing analytics, preferably within a retail or e-commerce environment

• 5+ years of experience utilizing SQL, SAS, or similar analytical tools to query and analyze large data sets

• 3+ years of experience developing reporting and dashboards using Tableau or similar business intelligence tools

• Experience with web analytics platforms such as Adobe Analytics or equivalent tools

• Advanced Microsoft Excel skills, including complex formulas, data modeling, and large-scale data analysis

• Strong understanding of retail, e-commerce, and marketing concepts, including customer acquisition, segmentation, direct marketing, digital advertising, and promotional strategies

• Experience applying advanced quantitative techniques such as forecasting, attribution modeling, customer lifetime value, price elasticity analysis, simulations, and optimization models

• Proven ability to deliver actionable insights and influence business decisions through data analysis

• Strong analytical, problem-solving, project management, and organizational skills

• Excellent communication skills with the ability to present technical findings to non-technical audiences

• Ability to manage multiple priorities and projects while maintaining exceptional attention to detail

• 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

• MBA with a concentration in Analytics, Data Science, or a related discipline

• Experience with Python and/or R

• Experience building predictive models and advanced statistical analyses within a retail, e-commerce, or consumer-focused organization

WHY THIS ROLE IS UNIQUE

• We act with intensity, urgency and a passion for supporting our customers and growing our business. We strive for excellence.

• We hold ourselves accountable and expect it of each other. We attack problems with a positive can-do attitude. We do what we say we’ll do.

• We deliver as one team, working together with integrity, respect, trust, transparency, and fun. We are better because we work here.

• We believe our unique diversity and authenticity makes us a better company, allows us to be our best selves and is a competitive advantage.

• We exhibit innate curiosity and creativity to innovate and reimagine how things can be done. We ask, Is there a better way?

WHAT WE OFFER

• Comprehensive benefits: medical, dental, vision, company-paid Basic Life/AD&D

• 401(k) Retirement Plan

• Paid Time Off

• Career Development

• Employee Purchase Program

Purchasing Power welcomes and encourages diversity in the workplace. We do not discriminate in any aspect of employment on the basis of race, color, religion, national origin, ancestry, gender, sexual orientation, gender identity and/or expression, age, veteran status, disability, or any other characteristic protected by federal, state, or local employment discrimination laws where Purchasing Power does business.