The company is looking for a Business Intelligence Analyst to help build the reporting infrastructure that powers smarter, faster decisions across the organization and its professional sports clients.
Requirements
- Proficiency in SQL and hands-on experience with dbt or equivalent transformation tools.
- Experience working with cloud data warehouses (e.g., Snowflake, BigQuery, Redshift).
- Familiarity with BI tools—preferably ThoughtSpot or similar (e.g., Looker, Sigma, Tableau, Power BI).
- An interest in using AI tools to support business intelligence needs.
- Comfort with lightweight or intermediate technical statistical analysis using tools like Python or R.
- Familiarity with modern data stacks, including Fivetran, Segment, Amplitude, and Dagster.
- Exposure to building and maintaining metric definitions or analytics documentation.
Responsibilities
- Build and maintain dashboards, reports, and analytics assets for internal teams and external partners.
- Support decision-making across departments—including product, marketing, and customer success—by ensuring access to high-quality data and insights.
- Investigate business questions using SQL, BI tools, spreadsheets, or Python notebooks to uncover insights and inform decisions.
- Break down open-ended requests into actionable steps and deliver concise, actionable results.
- Help team members and customers explore and make sense of data on their own through training, documentation, and one-on-one support.
- Champion data accessibility and empower others to be confident in using analytics tools.
- Promote and scale a self-service analytics culture by educating stakeholders on how to explore, visualize, and draw insights from data themselves.
Other
- 5+ years of experience in business intelligence, data analytics, or a similar analytical role.
- Strong communication and collaboration skills—comfortable working cross-functionally in a fast-paced, ambiguous environment.
- A proactive, teaching mindset—excited to help teammates level up their own data skills.
- Experience supporting multiple business teams in a startup or high-growth environment.
- Prior experience in customer-facing data work (e.g., helping clients interpret their data).
