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Senior Web Analyst – eCommerce
Progressive Leasing. Own web and conversion analysis across the eCommerce journey.
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in eCommerce analytics, including web analytics platforms, SQL, and data visualization tools. Capable of translating complex data insights into actionable recommendations while collaborating with cross-functional teams to enhance customer experiences and drive business decisions.
Highest-signal resume keywords
ECommerce AnalyticsWeb Analytics PlatformsSQL ProficiencyData Visualization ToolsStatistical Reasoning
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Web AnalyticsConversion Funnel AnalysisData Quality AssuranceExperimentationForecastingSegmentationCustomer Journey AnalysisKPI DefinitionData AnalysisDigital Merchandising
Soft Skills
Attention to DetailIntellectual CuriosityCommunication SkillsBusiness JudgmentAdaptability
Tools & Technologies
Adobe AnalyticsGoogle AnalyticsTableauCustomer Data PlatformsTag Management SystemsCloud Data Warehouses
Industry Keywords
RetailMarketplaceFinancial ServicesHigh-Volume Transactional ECommerceData GovernancePrivacy Management
Tech Stack
Tools & technologiesCloudSQLTableau
About the role
Key responsibilities & impact- Own web and conversion analysis across the eCommerce journey.
- Partner with business and technical teams to define measurement strategies.
- Translate complex findings into practical recommendations for eCommerce roadmap and investment decisions.
- Analyze customer behavior across acquisition, product discovery, product detail engagement, cart, checkout, and post-purchase experiences.
- Build and maintain dashboards, recurring reports, and self-service analytics.
- Define KPIs and measurement plans for site enhancements, campaigns, merchandising initiatives, product launches, and customer experience improvements.
- Partner with eCommerce, Product, Marketing, Merchandising, UX, Engineering, Finance, and Operations teams.
- Evaluate conversion rate, revenue, average order value, engagement, retention, and other commercial metrics.
- Lead deep-dive analyses to identify friction points, trends, and performance drivers.
- Support experimentation by developing hypotheses, sizing opportunities, defining test metrics, evaluating results, and recommending next steps.
- Validate analytics implementations and data quality; document tracking requirements and resolve gaps with technical teams.
- Create forecasts, benchmarks, and business cases to prioritize the eCommerce roadmap and investment decisions.
- Present decision-ready insights to senior leaders and influence action through data storytelling.
- Establish analytical standards, reusable methodologies, and best practices.
- Mentor analysts and business partners.
Requirements
What you’ll need- Hybrid – 3 days onsite | Atlantic Station Office
- Bachelor’s degree in analytics, business, economics, statistics, marketing, information systems, or a related field, or equivalent practical experience.
- 5 or more years of experience in digital, web, product, customer, or eCommerce analytics.
- Advanced experience with web analytics platforms such as Adobe Analytics, Full Story, and/or Google Analytics.
- Strong SQL skills and experience working with large, complex datasets.
- Proficiency with data visualization tools such as Tableau.
- Demonstrated experience analyzing conversion funnels, customer journeys, digital merchandising, and campaign performance.
- Working knowledge of tagging, data layers, event taxonomies, identity resolution, and analytics quality assurance.
- Strong statistical reasoning, including experience with experimentation, significance, segmentation, forecasting, or predictive analysis.
- Ability to communicate complex findings clearly to technical and non-technical audiences.
- Strong business judgment, intellectual curiosity, attention to detail, and the ability to manage multiple priorities in a fast-paced environment.
- Experience in retail, marketplace, financial services, or a high-volume transactional eCommerce environment.
- Experience with customer data platforms, tag management systems, digital experience platforms, or cloud data warehouses.
- Experience measuring personalization, search, recommendations, promotions, or loyalty programs.
- Understanding of data governance, privacy, consent management, and responsible use of customer data.
- Curiosity, adaptability, and openness to learning as roles and workflows evolve.
Benefits
Comp & perks- Competitive Compensation
- Full Health Benefits; Medical/Dental/Vision/Life Insurance + Paid Parental Leave
- Company Matched 401k
- Paid Time Off + Paid Holidays + Paid Volunteer Time
- Diversity Alliance Resource Groups
- Employee Stock Purchase Program
- Tuition Reimbursement
- Charitable Gift Matching
- Job Required Equipment & Services Will Be Provided