Marketing Analytics Lead – Enterprise Retail
Career GuideKey Responsibilities
- Lead design of marketing attribution and measurement frameworks across channels
- Build, automate, and QA dashboards and pipelines for campaign and ecommerce KPIs
- Plan and analyze A/B and multivariate tests; quantify lift and ROI
- Segment customers and model CLV, retention, and churn for lifecycle programs
- Partner with marketing, ecommerce, and merchandising to optimize spend and promotions
- Forecast demand and budget impact using historical and seasonal trends
- Define data requirements and partner with data engineering to improve data quality
- Mentor analysts and set the analytics roadmap; triage and prioritize requests
Career Progression
Can Lead To
Director of Marketing Analytics
Head of Marketing Science
Director of Growth/CRM Analytics
VP of Marketing Analytics/Insights
Transition Opportunities
Product Analytics Manager/Lead
Data Science Manager (Marketing/CRM)
Growth Marketing Manager (Performance)
Customer Insights Manager
E‑commerce Analytics Manager
Common Skill Gaps
Often Missing Skills
Advanced SQL for large, messy marketing datasetsExperiment design and causal inference for A/B testsAttribution modeling (MMM, MTA) and ROI measurementBuilding self-serve dashboards (Tableau/Looker)Customer lifetime value (CLV) and cohort analysis
Development SuggestionsTake focused courses in SQL and experimentation (incl. GA4 and A/B testing). Build a portfolio using a public e‑commerce dataset: create a dashboard, run a mock test analysis, and present ROI/CLV findings.
Salary & Demand
Median Salary Range
Entry Level$75,000 - $95,000
Mid Level$105,000 - $135,000
Senior Level$140,000 - $185,000
Growth Trend
growing — E‑commerce scale and data-driven spend boost demand for analytics leadersCompanies Hiring
Major Employers
AmazonWalmartTarget
Industry Sectors
Retail & E-commerceAdvertising & MarketingConsumer Packaged Goods (CPG)
Recommended Next Steps
1
Earn GA4 and Tableau Certified Data Analyst credentials; publish a case study measuring a multi‑channel campaign.2
Build an end‑to‑end portfolio project: SQL data prep, attribution model or MMM, experiment analysis, and a self‑serve dashboard.3
Set 5–10 informational interviews with retail analytics leaders; join analytics communities and share your project for feedback.