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Progressive Leasing

Senior Data Analyst

Progressive Leasing

Senior Data Analyst providing data-driven insights for sales, marketing, and pricing strategies at Progressive Leasing. Collaborating with cross-functional teams to optimize business performance with strong analytics.

Posted 7/6/2026full-timeAtlanta • 🇺🇸 United StatesSeniorWebsite

Tech Stack

Tools & technologies
SQLTableau

About the role

Key responsibilities & impact
  • 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

Requirements

What you’ll need
  • 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

Benefits

Comp & perks
  • Comprehensive benefits: medical, dental, vision, company-paid Basic Life/AD&D
  • 401(k) Retirement Plan
  • Paid Time Off
  • Career Development
  • Employee Purchase Program

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools
Data AnalysisStatistical ModelingPredictive ModelingReporting DevelopmentQuantitative TechniquesForecastingAttribution ModelingPrice Elasticity AnalysisOptimization ModelsData Visualization
Soft Skills
Analytical SkillsProblem-SolvingProject ManagementOrganizational SkillsCommunication Skills