Senior Data Analyst (Hybrid - Atlanta, GA)

Purchasing Power•Atlanta, GA

3d•Hybrid

About The Position

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.

Requirements

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.

Nice To Haves

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

Responsibilities

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