Director of Analytics

About This Role

Directing the full path from raw data to decision is the core of this leadership role, encompassing the data warehouse, transformation layer, and BI tooling. You will set the technical direction for the analytics stack, lead a small team, and provide executive stakeholders with data-backed answers. This is a hands-on position where you will manage the team, review models, dig into the warehouse, and make tooling decisions.

Responsibilities

• Own the analytics architecture end to end, from the Snowflake warehouse and dbt transformation layer through to the BI/reporting layer used across the business
• Set and evolve BI tooling strategy, including evaluating whether the current tool, Sigma, remains the right fit versus alternatives like Looker, Tableau, Power BI, Hex, or Mode as the team and data volume grow
• Lead, hire, and develop a team of analysts and analytics engineers
• Partner with Product, Customer Success, and Engineering to define key metrics, build self-serve reporting, and translate business questions into well-scoped analytical work
• Establish data modeling standards, testing, and governance across dbt models so the numbers hold up under scrutiny
• Own data security and access controls across the warehouse and BI layer, ensuring sensitive retail, store, and operational data is properly governed, access is scoped by role, and customer data handling requirements are met
• Build and own executive-facing reporting on core business metrics such as product availability, store performance, and inventory accuracy

Requirements

• 8+ years of experience in analytics, with at least 3 years directly managing or leading a team
• Deep hands-on SQL, including complex CTEs, window functions, and query optimization
• Real experience running a cloud data warehouse, Snowflake strongly preferred
• Hands-on experience with dbt or a comparable transformation layer
• Track record evaluating, migrating, or scaling BI tools, with the ability to speak concretely to tradeoffs between tools like Sigma, Looker, Tableau, and Power BI
• Experience translating messy operational data into decisions executives act on
• Excellent written and verbal communication, with the ability to influence cross-functional partners without authority
• Comfortable operating remote-first, across a distributed team

Nice to have:

• Experience with IoT, sensor, or computer-vision-derived data (high-volume, noisy, real-time)
• Python for analytics engineering or pipeline work
• Experience scaling an analytics function inside a growth-stage startup
• Background in retail, grocery, logistics, or other operationally complex environments
• Experience mentoring managers, not just individual contributors