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Senior Data Analyst
Progressive LeasingSenior 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.
Tech Stack
Tools & technologiesSQLTableau
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
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
Data AnalysisStatistical ModelingPredictive ModelingReporting DevelopmentQuantitative TechniquesForecastingAttribution ModelingPrice Elasticity AnalysisOptimization ModelsData Visualization
Soft Skills
Analytical SkillsProblem-SolvingProject ManagementOrganizational SkillsCommunication Skills