Own and optimize data analytics for multi-channel e-commerce (Amazon, Walmart, Target, Shopify) to drive pricing, marketing, and ROI decisions.

• Own cross-channel performance analysis and dashboards for leadership decision-making.
• Strong SQL, Power BI, and data modeling skills to deliver reliable reports.
• Explain anomalies and present actionable recommendations, not just observations.
• Collaborate with finance to model ROI/ROAS and pricing strategies.
• Design and analyze A/B tests across email, website, and ads.
• Translate test results into business-ready recommendations for content and paid media teams.
• Monitor conversion funnels and user behavior to identify optimization opportunities.
• Evaluate promotional and pricing strategy effectiveness via structured testing.
• Support paid ad budgeting and audience targeting with data-driven guidance.

Responsibilities

• Analyze e-commerce performance data across all channels — Amazon, Walmart, Target, Shopify, and owned websites — to identify what’s working, what’s not, and where to act
• Build and maintain Power BI dashboards tracking ROAS, CPA, CVR, CPC, CPM, CTR, LTV, and channel-level profitability for leadership decision-making
• Write and maintain SQL queries to extract, clean, and transform data from multiple platforms and systems into clear, reliable reporting
• Investigate performance anomalies, diagnose root causes, and present findings with recommended action plans — not just observations
• Partner with the Financial Analyst to support pricing strategy, margin analysis, and ROI/ROAS modeling across platforms and promotional events
• Design, execute, and analyze A/B tests across email campaigns, website content, product listings, landing pages, and ad creative
• Translate test results into statistically sound, business-ready recommendations that the content and paid media teams can act on immediately
• Continuously monitor conversion funnels and user behavior to identify optimization opportunities across the customer journey
• Evaluate promotional and pricing strategy effectiveness through structured testing and post-analysis
• Work directly alongside the paid ad team to provide data-driven guidance on budget allocation, campaign performance, and audience targeting

Requirements

• Bachelor’s degree in Business Analytics, Data Science, Economics, Statistics, Marketing Analytics, or a related quantitative field
• 3–5 years of hands-on experience in an e-commerce analytics, digital analytics, or business intelligence role
• Demonstrated experience working with significant advertising budgets and multi-channel e-commerce platforms
• Excel: Expert-level — advanced formulas, pivot tables, financial modeling, and scenario analysis
• SQL: Proficient — independently write queries to extract, join, and transform data from multiple sources
• Power BI: Advanced — build and maintain dashboards from scratch including data modeling and DAX measures
• A/B Testing: Hands-on experience designing, running, and interpreting tests with statistical rigor
• E-Commerce Platforms: Proficient working knowledge of Amazon Seller Central, Shopify, Walmart Seller Center, or comparable platforms
• Communication: Ability to translate complex analytical findings into clear, actionable narratives for non-technical stakeholders and leadership

Preferred

• Google Analytics (GA4): Familiar to proficient
• Klaviyo: Familiar with email/SMS analytics, segmentation, and campaign performance reporting
• BI/Analytics Platforms: Experience with Triple Whale, Northbeam, or similar attribution and analytics tools a strong plus
• Certifications: Google Analytics, Google Ads, or Meta Blueprint certification preferred
• Additional Tools: Familiarity with Tableau, Looker Studio, Google Tag Manager, or Intelligems (A/B testing) is a bonus