Data Analyst

5–8 years of experience in an analyst or business intelligence role, ideally in a fast-paced, cross-functional environment.
Strong SQL skills and comfort working with cloud data warehouses like Snowflake.
Experience building dashboards and reports in tools like Sigma, Tableau, Looker, or equivalent BI platforms.
Familiarity with a modern data stack: we use Snowflake, dbt, Polytomic, and Sigma.
Great communication skills – you can explain technical concepts to business stakeholders and frame insights with business context.
High ownership mindset – you’re proactive, curious, and driven to make a meaningful impact, even when the path isn’t perfectly clear.

Collaborate with stakeholders to understand their goals, surface the right metrics, and deliver insights that drive decision-making.
Build and maintain dashboards and reports in tools like Sigma and Snowflake to help teams monitor performance, uncover trends, and identify opportunities.
Use SQL and Snowflake to dig into data, perform analyses, and support strategic initiatives across the company.
Leverage Polytomic and dbt to streamline data flows and improve access to clean, reliable data for business users.
Act as a consultative partner – you’ll be embedded in different projects across functions, but stay connected to the centralized data team for best practices and shared context.
Drive your own projects end-to-end: identifying needs, exploring data, communicating findings, and supporting implementation.
Create scalable tools and templates so teams can self-serve more easily and reduce ad-hoc bottlenecks.

Ability to thrive in ambiguity and figure out how to define, structure, and solve vague problems.
Being scrappy and adaptable in a startup environment, moving fast and figuring things out.
Excitement about driving the business forward and working directly with senior leadership.