Director of Analytics
Directors of Analytics lead business intelligence and analytics strategy. They own dashboards, reporting, and business insights.
Median Salary
$240,000
Job Growth
High — analytics functions expanding
Experience Level
Entry to Leadership
Salary Progression
| Experience Level | Annual Salary |
|---|---|
| Entry Level | $160,000 |
| Mid-Level (5-8 years) | $240,000 |
| Senior (8-12 years) | $320,000 |
| Leadership / Principal | $440,000+ |
What Does a Director of Analytics Do?
Directors of Analytics lead analytics functions and set analytics strategy for organizations. They build analytics teams, establish standards for dashboards and reporting, partner with business leaders on analytics needs, implement BI tools and platforms, and drive data-driven decision culture across company.
A Typical Day
Strategy: Define analytics strategy and tool roadmap for year
Team: Manage analytics team. Hiring, career development, projects
Dashboards: Oversee dashboard development ensuring business adoption
Training: Train organization on using dashboards and analytics tools
Partnerships: Work with finance, marketing, operations on analytics needs
Tools: Evaluate and implement BI tools (Tableau, Looker, PowerBI)
Culture: Foster data-driven decision culture
Key Skills
Career Progression
Directors of Analytics typically progress to Chief Data Officer or VP of Product roles.
How to Get Started
Analytics: 7+ years as business analyst or analytics engineer
BI tools: Deep experience with BI platforms (Tableau, Looker)
Leadership: Team management and mentoring experience
Business: Strong business acumen and understanding of metrics
Communication: Ability to explain complex analyses simply
Company: Work at data-driven organization
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Frequently Asked Questions
What's the scope?▼
Business intelligence, reporting, dashboards, analytics culture, tools selection and implementation.
How big are teams?▼
Varies. Small companies 3-5 analysts. Large companies 30+ analytics team across departments.
What's success?▼
Business adoption (dashboards used), speed (questions answered quickly), data literacy across organization.
What's different from data science?▼
Analytics focuses on understanding past and present. Data science on predicting future. Both needed.
What skills matter?▼
Leadership, business acumen, technical (SQL, Python, BI tools), communication, ability to simplify complexity.
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Last updated: 2026-03-07