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Senior Web Analyst – eCommerce
Purchasing Power. Analyze customer behavior across the eCommerce funnel, including acquisition, product discovery, product detail engagement, cart, checkout, and post-purchase experiences.
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in eCommerce analytics, including customer behavior analysis, conversion funnel evaluation, and data storytelling. Proficient in utilizing web analytics platforms and data visualization tools to drive actionable insights and support business decisions.
Highest-signal resume keywords
ECommerce AnalyticsSQL ProficiencyAdobe AnalyticsData Visualization with TableauStatistical 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
Data AnalysisConversion Funnel AnalysisForecastingPredictive AnalysisExperimentationData Quality AssuranceKey Performance IndicatorsCustomer Journey AnalysisDigital MerchandisingReporting
Soft Skills
Attention to DetailIntellectual CuriosityCommunication SkillsAdaptabilityBusiness Judgment
Tools & Technologies
Google AnalyticsFull StoryTableauWeb Analytics Platforms
Industry Keywords
ECommerceCustomer ExperienceDigital MarketingAnalytics MethodologiesData Storytelling
Tech Stack
Tools & technologiesSQLTableau
About the role
Key responsibilities & impact- Analyze customer behavior across the eCommerce funnel, including acquisition, product discovery, product detail engagement, cart, checkout, and post-purchase experiences.
- Build and maintain dashboards, recurring reports, and self-service analytics communicating performance, trends, risks, and opportunities.
- Define key performance indicators 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 to translate business questions into analytical approaches and actionable recommendations.
- Evaluate conversion rate, revenue, average order value, engagement, retention, and other commercial metrics by channel, device, customer segment, category, and journey stage.
- Lead deep-dive analyses to identify friction points, emerging trends, and underlying 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 partner with technical teams to resolve gaps or inconsistencies.
- Create forecasts, benchmarks, and business cases to prioritize the eCommerce roadmap and investment decisions.
- Present concise, decision-ready insights to senior leaders and influence action through clear data storytelling.
- Establish analytical standards, reusable methodologies, and best practices while mentoring 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.
- Curiosity, adaptability, and openness to learning as AI-enabled tools 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