Data Analyst / Business Analyst

Role overview Own analytics that help teams understand product performance, growth, revenue, and support, and use those findings to guide decisions. The role combines recurring reporting with deeper analysis of experiments and hiring-market data, translating results into clear recommendations for non-technical partners.

Responsibilities - Maintain reporting on acquisition, activation, retention, revenue, and support metrics. - Build dashboards and self-service reports so teams can answer common questions independently. - Query production and warehouse data with SQL, and document consistent metric definitions. - Design and interpret experiments, distinguishing meaningful results from statistical noise. - Work with engineering on event instrumentation, data quality, and improvements to data pipelines. - Present analyses with practical recommendations, not just charts or raw findings.

Requirements - At least two years of experience in data or business analytics; subscription or consumer software experience is useful. - Advanced SQL skills and strong spreadsheet modeling ability. - Hands-on experience building dashboards with a business intelligence tool such as Metabase, Looker, or Tableau. - Comfort with statistics and interpreting experiments. - Ability to explain findings clearly to non-technical stakeholders.

Nice to have Python or dbt experience.

Benefits and work setup Remote-friendly, flexible work, with a salary, learning and tooling budget, home-office stipend, and paid time off. The role offers visibility with leadership.