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Purchasing Power

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.

Posted 10/23/2026full-timeAtlanta • United StatesSeniorWebsite

Core Competencies

Role fit
Core 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

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Applicant 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 & technologies
SQLTableau

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