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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.
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in data analytics and business intelligence, with a strong focus on customer acquisition, retention, and profitability. Proficient in developing actionable insights through advanced quantitative techniques and effective communication of complex data findings.
Highest-signal resume keywords
Data AnalyticsSQLTableauCustomer Lifetime Value (CLTV)Advanced Excel Skills
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Data AnalysisStatistical ModelingPredictive ModelingReporting DevelopmentQuantitative TechniquesForecastingAttribution ModelingPrice Elasticity AnalysisOptimization ModelsData Visualization
Soft Skills
Analytical SkillsProblem-SolvingProject ManagementOrganizational SkillsCommunication Skills
Tools & Technologies
TableauSQLSASAdobe AnalyticsBusiness Intelligence Tools
Industry Keywords
RetailE-CommerceMarketing AnalyticsCustomer SegmentationPromotional Strategies
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