Director of Data & Analytics

What You'll Do:

\u2022 Architect the company's data warehouse, cloud platform, pipelines, data models, and BI infrastructure to replace ad-hoc reporting with reliable, reusable assets.

\u2022 Establish governance, definitions, and lineage for company KPIs so metrics live in one governed place and survive audit and scrutiny.

What You Bring:

\u2022 8+ years in data, analytics, or business intelligence, including 3+ years leading a function, a team, or a company-wide data initiative.

\u2022 Demonstrated experience building an analytics capability where little or none existed\u2014you have done the zero-to-one version of this, not only operated a mature stack.

\u2022 Advanced SQL and deep hands-on experience building with modern data stacks, such as cloud warehouses (Snowflake, BigQuery, Databricks, or Redshift), transformation frameworks (dbt or equivalent), ingestion tooling, semantic layers, and BI platforms (Looker, Power BI, Tableau, Sigma, or similar).

\u2022 Working knowledge of SaaS business and financial metrics\u2014ARR and its movements, retention, CAC and payback, gross margin, cohort behavior\u2014and the judgment to recognize when a metric is being calculated in a way that will not survive scrutiny.

\u2022 Experience building reporting consumed by executives, boards, or investors, with the accuracy discipline that implies.

\u2022 A track record of designing data governance frameworks that enforce metric definitions across competing business units\u2014finance, sales, engineering\u2014without freezing the organization or spawning workarounds.

\u2022 Ability to translate between a technical implementation and a business decision, in both directions, without losing either audience.

\u2022 Comfort with ambiguity and with owning outcomes rather than tickets. This is a build role.

Preferred:

\u2022 Experience in a scaling B2B software or technology company, ideally in the ~$10M\u2013$200M ARR/revenue range and during a period of rapid growth.

\u2022 Experience reporting on a mixed revenue model\u2014subscription revenue alongside government contracting (fixed-price, FAR-based) and professional services\u2014and familiarity with the reporting expectations that come with federal or regulated-industry customers.

\u2022 Python or R for analysis beyond what SQL handles well.

Success at 2F Looks Like:

\u2022 A proactive and solutions-oriented mindset

\u2022 Viewing obstacles as opportunities for growth

\u2022 Having a bias toward action and tangible, measurable results

\u2022 Being team-oriented with a focus on personal responsibility and autonomy