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Ecommerce Analyst

24 Seven Talent
Department:SEO Marketing
Type:REMOTE
Region:USA
Location:United States
Experience:Mid-Senior level
Salary:$83,200 - $93,600
Skills:
DIGITAL PRODUCT ANALYTICSMERCHANDISING ANALYTICSCUSTOMER BEHAVIOR ANALYSISFUNNEL OPTIMIZATIONDASHBOARD AUTOMATIONFUNNEL ANALYSISCOHORT ANALYSISUSER SEGMENTATIONCUSTOMER JOURNEY MAPPINGEXPERIMENTATION STRATEGIESA/B TESTINGE-COMMERCE CAMPAIGN ANALYTICS
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Job Description

Posted on: July 16, 2025

Title: Omnichannel / Merchandizing Analyst

Location: Fully remote (Preference for Pacific Time, but open to other time zones as long as core business hours are covered)

Interview process: Ideally 2–3 interviews — one technical (with hiring manager), one with cross-functional partner, and possibly a third with a team member.

Pay Range: $40-45/hr.

Duration: 12 months

Role Overview:

This analyst role will support digital product and merchandising analytics, helping the team understand customer behavior, optimize funnels, and measure the impact of merchandising strategies across app and web. The position is split into two focus areas:

Omnichannel / Merchandizing Analytics (70%)

  • Define, track, and report on key digital KPIs (e.g., ATC, CVR, Shop to CVR, AOV, abandonment)
  • Build and maintain automated dashboards to monitor product funnels, feature engagement, customer path to purchase, and merchandising placements
  • Conduct funnel and cohort analyses to identify drop-off points and recommend technical or product improvements
  • Segment users to uncover high-impact audiences or those with specific product propensities
  • Map customer journeys across touchpoints to understand how product engagement differs by journey stage
  • Analyze how merchandising strategies influence day-to-day business performance and quantify behavioral changes
  • Suggest experimentation strategies based on data insights to improve merchandising performance
  • Create reporting and readouts for launched experiments
  • Support production validation testing on new feature rollouts to ensure proper implementation and identify potential issues

E-commerce Campaign Analytics Support (30%)

  • Own performance readouts for A/B tests, including building automated dashboards and creating summary decks for stakeholders
  • Provide analytics support for LTO (limited-time offer) digital campaigns and build readouts aligned to the marketing calendar
  • Maintain and ensure quality of existing dashboards
Originally posted on LinkedIn

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