Head of Business Analytics

Career Guide
Heads of Business Analytics set the vision and lead teams that turn data into decisions. They define KPIs, build dashboards and experiments, and partner with executives to drive growth, efficiency, and risk management across the company.

Key Responsibilities

  • Set analytics strategy aligned to business goals
  • Build and manage analytics, BI, and data science teams
  • Define KPI frameworks and performance measurement
  • Oversee data governance, quality, and access policies
  • Lead experimentation (A/B testing) and causal analysis
  • Translate executive questions into analytics roadmaps
  • Deliver insights and recommendations that drive decisions

Career Progression

Can Lead To
VP of Analytics
Chief Data Officer (CDO)
Head of Data Science
Transition Opportunities
Data Product Manager
Strategy & Operations Leader
Management Consultant (Analytics)
Revenue Operations Leader

Common Skill Gaps

Often Missing Skills
Enterprise data architecture and governanceExperimental design and causal inference at scaleKPI frameworks linking metrics to P&L outcomesLeading and scaling multi-disciplinary analytics teams
Development SuggestionsLead a company-wide KPI/measurement initiative and own data governance; complete CAP or an A/B testing specialization to formalize methods.

Salary & Demand

Median Salary Range
Entry LevelUS$140,000–$170,000
Mid LevelUS$170,000–$210,000
Senior LevelUS$210,000–$280,000
Growth Trend
growing - Broad adoption of data/AI boosts demand for analytics leadership

Companies Hiring

Major Employers
AmazonJPMorgan Chase & Co.UnitedHealth Group
Industry Sectors
TechnologyFinancial ServicesHealthcareRetail & E-commerceConsulting

Recommended Next Steps

1
Earn CAP and a BI certification (Tableau or Power BI); build an executive portfolio with KPI playbooks and dashboards.
2
Lead a cross-functional experimentation program; publish results tying metrics to revenue/cost impacts.
3
Join data leadership communities and present at meetups; conduct informational interviews with analytics executives.