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Sr Web & Customer Journey Analytics Specialist

Job in Atlanta, Fulton County, Georgia, 30383, USA
Listing for: HD Supply
Full Time position
Listed on 2026-02-16
Job specializations:
  • IT/Tech
    Data Analyst, Data Mining
Salary/Wage Range or Industry Benchmark: 80000 - 100000 USD Yearly USD 80000.00 100000.00 YEAR
Job Description & How to Apply Below

Senior Web & Customer Journey Analytics Specialist

This role owns customer journey, web behavior, and recommendation analytics across our digital platforms. You will analyze event-level data to understand how users engage with product recommendations, where they convert or drop off, and how those journeys impact revenue.

This is a hands‑on analytics role for someone who can work with messy behavioral data, build complex SQL logic, and translate user behavior into actionable revenue optimization strategies.

Must‑Have Qualifications
  • 7+ years experience with experience in product analytics, web analytics, growth analytics, or digital analytics
  • Expert‑level SQL (CTEs, window functions, advanced joins, performance optimization)
  • Deep experience with event‑level data (clickstream, app/web events, behavioral tracking)
  • Funnels and drop‑off points
  • Attribution across channels
  • Experience building behavioral and omnichannel data models
  • Working knowledge of Python for data analysis (Pandas, Num Py)
  • Ability to work with imperfect or incomplete data and improve data quality
Core Responsibilities
  • Analyze end‑to‑end customer journeys across web and digital platforms
  • Evaluate performance of product recommendations and identify opportunities to:
    • Increase conversion
    • Increase share of wallet
  • Perform attribution analysis to understand how users arrive, engage, and convert
  • Identify drop‑off points and behavioral patterns that inform product and marketing decisions
  • Partner with product, marketing, and commercial teams to turn insights into action
  • Build and maintain event‑based analytical datasets to support ongoing analysis
Nice‑to‑Have
  • Snowflake
  • Experience with experimentation / A/B testing
  • Exposure to recommendation systems or personalization
  • Machine learning (applied, not academic)
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