Director, Business Analytics

What You'll Do

• Own data strategy from infrastructure to insight, partnering closely with Finance, GTM, Product, Customer Success, and Marketing leadership.
• Lead and develop a team of 7-8 analysts and analytic engineers, setting clear goals, delivering regular feedback, and building a culture where people grow and do their best work.
• Drive the evolution of our data infrastructure and analytics operations by owning data modeling in dbt, governing our Snowflake environment, and improving our reporting stack inside OMNI.
• Deliver insights that go beyond the dashboard, translating customer, product, and financial data into clear, actionable recommendations that help Finance, GTM, Product, and CS teams make smarter decisions faster.
• Establish and maintain a single source of truth across business functions, eliminating shadow reporting and resolving data discrepancies before they create downstream problems.
• Partner hands-on with data engineering on pipeline requirements, data quality standards, and transformation logic, staying close enough to the work to spot issues and make good technical tradeoffs.
• Apply statistical and analytical methods to upgrade the quality of business insights, moving the team from descriptive reporting toward causal and prescriptive analysis where it drives real value.
• Build strong working relationships with senior stakeholders across Finance, GTM, Customer Success, and Marketing, acting as a trusted partner who understands their goals and proactively surfaces relevant findings.

What You Need

• 12+ years of experience in business intelligence, analytics, or data science, with progressive leadership responsibility
• 3+ years of direct people management experience leading teams of BI analysts and/or analytic engineers, including hiring, performance management, and career development
• Proficiency in SQL (advanced) and hands-on experience with dbt, including designing and maintaining data models and transformation pipelines
• Experience with cloud data warehouses (Snowflake) and data visualization platforms (Omni, Tableau, or equivalent)
• Demonstrated track record of managing cross-functional executive stakeholders and translating complex data into clear business recommendations
• Proven experience establishing data governance frameworks and resolving data quality issues across multiple business functions
• Foundation in statistical analysis or data science methodologies with the ability to communicate findings clearly to non-technical audiences

What Will Make You Stand Out

• Experience applying statistical modeling, causal inference, or explainable AI methods to real business problems, paired with a proven ability to present findings to executive audiences
• Track record of eliminating shadow reporting by building trusted data standards that leadership now relies on exclusively
• Background that combines technical data depth with business strategy or consulting experience, bridging analytical rigor and business decision-making
• Experience building or scaling analytics functions in an open-source, AI, or data science-oriented company where the business itself generates the data you're analyzing

Compensation

Base salary range: $152,500 - $224,500, along with annual bonus potential, equity participation, and benefits including flexible vacation, medical/dental/vision insurance, short/long-term disability, paid parental leave, wellness stipend, and mental health resources.