Director, Business Analytics

Anaconda, Inc. is a leader in AI and data science, and they are seeking a Director of Business Analytics to join their Data Analytics team. This role will lead a team of analysts and analytic engineers, focusing on transforming raw data into actionable insights to support decision-making across various business functions.

Responsibilities:

• 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

Requirements:

• 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)
• Hands-on experience using AI tools (LLMs, AI-assisted coding, agentic workflows) to accelerate analytical work -- not just awareness of them, but a track record of actually building with them and raising your team's output quality as a result
• 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
• 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
• You've thought seriously about where AI changes what analytics teams can deliver and have examples of shipping AI-assisted workflows that moved faster or went deeper than traditional approaches. You know the limits too
• You embody our values: "Curious by Default", "Build Together", "Own It", and "Lead with Guts and Heart", and our behaviors: Clarity, Care and Candor
• You care deeply about fostering an environment where people of all backgrounds and experiences can flourish