Head of Analytics

Career Guide
Leads an organization’s analytics strategy and teams to turn data into decision-ready insights. Sets measurement frameworks, oversees experimentation and BI, ensures data quality and governance, and partners with executives to drive growth, efficiency, and risk management.

Key Responsibilities

  • Define analytics strategy and roadmap aligned to business goals
  • Build and lead high-performing analytics and BI teams
  • Establish KPI frameworks, metric definitions, and governance
  • Oversee experimentation (A/B tests) and causal analysis
  • Own analytics stack and self-serve BI enablement
  • Partner with executives to translate insights into actions
  • Ensure data quality, privacy, and compliance
  • Forecast performance and guide resource prioritization

Career Progression

Can Lead To
VP of Analytics
Chief Data Officer (CDO)
Head of Data Science
Transition Opportunities
Product Manager (Data/Growth)
Data Engineering Manager
Business Intelligence Director

Common Skill Gaps

Often Missing Skills
Causal inference and experimentation at scaleMetric governance and standardized KPI designCloud data warehousing architectureAdvanced SQL and analytics engineering (dbt)Designing self-serve BI and semantic layers
Development SuggestionsComplete an advanced experimentation/causal inference course and run A/B tests end-to-end; build a portfolio project implementing ELT + dbt models on Snowflake/BigQuery with a Looker/Tableau semantic layer and documented KPIs.

Salary & Demand

Median Salary Range
Entry Level$150,000–$185,000
Mid Level$185,000–$230,000
Senior Level$230,000–$300,000
Growth Trend
growing | Data-driven decision-making expanding across industries

Companies Hiring

Major Employers
AmazonCapital OneWalmart
Industry Sectors
TechnologyFinancial ServicesRetail & E‑commerce

Recommended Next Steps

1
Complete a specialization in A/B testing and causal inference (e.g., Coursera/HarvardX) and apply it to a real dataset.
2
Build an end-to-end analytics stack project: ingest data (Fivetran/Airbyte), model with dbt, host on Snowflake/BigQuery, and publish executive dashboards.
3
Pursue CAP certification or an MS in Analytics/Statistics and join data leadership forums (e.g., Data Leaders, Locally Optimistic) to network and benchmark practices.