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Ecommerce Analyst

24 Seven Talent

United States

Remote

Part time

Yesterday
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Job summary

A leading company is seeking an Analyst to support digital product and merchandising analytics. The role involves defining key performance indicators, building automated dashboards, and conducting analyses to uncover customer behaviors and optimize sales strategies. This fully remote position is set for a duration of 12 months, ideal for someone with strong analytical skills looking to impact e-commerce performance significantly. This contract position suits candidates with a mid-senior level of analytical expertise.

Qualifications

  • Experience in analyzing digital product and merchandising performance.
  • Ability to build automated dashboards and analyze customer journeys.
  • Mid-senior level of expertise in analytics required.

Responsibilities

  • Define and report on key digital KPIs for e-commerce performance.
  • Build and maintain automated dashboards for product engagement.
  • Analyze merchandising strategies and recommend improvements based on data.

Skills

Data Analysis
Digital KPIs
Dashboard Creation
Segmentation
E-commerce Analytics

Job description

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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:

  • 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
Seniority level
  • Seniority level
    Mid-Senior level
Employment type
  • Employment type
    Contract
Job function
  • Job function
    Analyst
  • Industries
    Food and Beverage Services

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