Director of Customer Insights & Analytics

Career Guide
Leads customer research and analytics to uncover behaviors, needs, and opportunities that drive growth. Oversees data strategy, experimentation, and reporting to inform product, marketing, and customer experience decisions across the business.

Key Responsibilities

  • Define insights and analytics roadmap aligned to company strategy
  • Oversee quantitative and qualitative research programs (surveys, panels, interviews)
  • Develop customer segmentation, cohort, and CLV models
  • Build KPI frameworks and executive dashboards for customer metrics
  • Lead A/B testing and experimentation to optimize acquisition and retention
  • Translate findings into recommendations for product, marketing, and CX
  • Own Voice of Customer programs (NPS/CSAT) and closed-loop feedback
  • Manage team, budget, vendors, and data governance/privacy standards

Career Progression

Can Lead To
Senior Director of Customer Insights
VP of Analytics/Insights
Chief Customer Officer (CCO)
Transition Opportunities
Director of Marketing Analytics
Director of Business Intelligence
Market Research Director
Product Management Leader

Common Skill Gaps

Often Missing Skills
Hands-on SQL with large datasetsPython/R for modeling and analysisMarketing mix modeling and multi-touch attributionCustomer data platforms and first-party data architectureApplying data privacy frameworks to analytics use cases
Development SuggestionsComplete a portfolio project building CLV, cohort, and attribution models in Python/SQL with public e-commerce data; then run a small A/B test at work or via a pro-bono engagement to apply experimentation and present results.

Salary & Demand

Median Salary Range
Entry Level$130,000-$160,000
Mid Level$160,000-$200,000
Senior Level$200,000-$260,000
Growth Trend
growing

Companies Hiring

Major Employers
AmazonTargetAmerican Express
Industry Sectors
Retail & E-commerceTechnologyFinancial ServicesMedia & EntertainmentConsumer Packaged Goods (CPG)

Recommended Next Steps

1
Build a case-study portfolio: GA4 dashboard, SQL cohort/CLV analysis, and an A/B test readout with business recommendations.
2
Earn CAP or GA4 certification and complete a Python/R marketing analytics course (e.g., CLV, attribution, MMM).
3
Join the Insights Association or MeasureCamp; present a lightning talk to showcase methodology and leadership impact.