Senior Data Analyst (Hybrid - Atlanta, GA)

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.***This role is a PPC role***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 ONProvide data-driven insights and recommendations across sales, marketing, pricing, and promotional activitiesAnalyze item-level sales performance, customer behavior, campaign effectiveness, and promotional results to identify opportunities for growthMonitor daily, weekly, and monthly sales trends and communicate key business drivers to leadershipDevelop, execute, and measure marketing and promotional tests to generate actionable business insights and evaluate incremental demand and profitabilityLead customer analytics initiatives, including Customer Lifetime Value (CLTV), customer acquisition, retention, segmentation, and first-time versus repeat buyer analysesBuild and maintain reporting dashboards and visualizations using Tableau to support business needs and decision-makingDevelop predictive and statistical models that support customer acquisition, engagement, retention, and profitability initiativesAutomate manual reporting processes and identify efficiencies to improve business operationsConduct ad hoc analyses and support enterprise-wide initiatives and special projects as requested by senior leadershipPartner with cross-functional teams to ensure data accuracy, consistency, and integrity across reporting and analytics processesTranslate complex data findings into compelling stories and recommendations for business stakeholdersProvide mentorship, cross-training, and ongoing guidance to junior analysts and offshore team membersWHAT YOU BRINGHybrid – 3 days onsiteBachelor’s degree in Economics, Mathematics, Finance, Statistics, Analytics, or a related field5+ years of experience in data analytics, business analytics, or marketing analytics, preferably within a retail or e-commerce environment5+ years of experience utilizing SQL, SAS, or similar analytical tools to query and analyze large data sets3+ years of experience developing reporting and dashboards using Tableau or similar business intelligence toolsExperience with web analytics platforms such as Adobe Analytics or equivalent toolsAdvanced Microsoft Excel skills, including complex formulas, data modeling, and large-scale data analysisStrong understanding of retail, e-commerce, and marketing concepts, including customer acquisition, segmentation, direct marketing, digital advertising, and promotional strategiesExperience applying advanced quantitative techniques such as forecasting, attribution modeling, customer lifetime value, price elasticity analysis, simulations, and optimization modelsProven ability to deliver actionable insights and influence business decisions through data analysisStrong analytical, problem-solving, project management, and organizational skillsExcellent communication skills with the ability to present technical findings to non-technical audiencesAbility to manage multiple priorities and projects while maintaining exceptional attention to detailAI-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 QualificationsMBA with a concentration in Analytics, Data Science, or a related disciplineExperience with Python and/or RExperience building predictive models and advanced statistical analyses within a retail, e-commerce, or consumer-focused organizationWHY THIS ROLE IS UNIQUEWe 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 OFFERComprehensive benefits: medical, dental, vision, company-paid Basic Life/AD&D401(k) Retirement PlanPaid Time OffCareer DevelopmentEmployee Purchase ProgramPurchasing 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.SummaryLocation: Atlanta, GAType: Full time