# Data Analyst

**Company:** [Infinitus](https://hotfix.jobs/companies/infinitus)
**Location:** San Francisco, CA
**Role:** Data Analytics
**Experience:** 5+ years
**Skills:** SQL, Python, R, Sigma, Hex, Tableau, Looker, dbt
**Posted:** 2025-09-05

> Data Analyst responsible for complex data exploration, advanced modeling, metric definition, experimentation, and translating healthcare data into strategic insights for product and business leaders. Requires 5+ years experience, deep SQL and Python/R skills, statistical expertise, and strong communication.

## Job Description

## Your Impact
- Build Analytical Capacity: Create the frameworks, metric standards, and shared methodologies that empower partner teams to self-serve and unlock new, scalable use cases for insights.
- Shape our Analytical Rigor: Help define our standards for hypothesis testing, experimentation design, and statistical validation. Own the best practices for how we interpret data and ensure "truth" remains consistent as we grow.
- Drive Strategic Decisions: Partner with leaders to turn complex data into a clear path forward, providing the insights that help us decide what to build next and where to invest our resources.
- Uplift the Craft: Help partner teams design better experiments, interpret data more accurately, and ship better insights through technical guidance, documentation, and training.
- Scale the Insight Loop: Expand and maintain automated reporting, alerting, and validation processes that ensure we can monitor performance and identify trends with total confidence.
- Ensure Governance by Design: Integrate rigorous data integrity, privacy, and compliance standards into the analytical workflow, ensuring our insights are as secure as they are actionable.

## Your Skillset
- 5+ years of professional experience in data analytics, with a track record of tackling complex problems and delivering high-stakes insights.
- Deep fluency in SQL, with the ability to write sophisticated, maintainable queries that serve as a foundation for reliable analysis.
- Strong proficiency in Python or R for advanced data manipulation, statistical modeling, and hypothesis testing.
- Comfortable exploring ambiguity and translating open-ended business questions into well-defined analytical solutions.
- Expertise in analytical methodology, including statistical validation, optimization models, and the ability to interpret trends within messy, multi-source data.
- Hands-on with modern visualization and dashboarding tools (e.g., Sigma, Hex, Tableau, or Looker) to build intuitive data assets and clear narratives.
- Mastery of communication, specifically the ability to translate technical findings into a clear path forward for product teams and executive leadership.
- Excited to help others grow in their use of data and level up the team's collective analytical rigor.

## Nice-to-Haves
- Opportunities to develop skills in AI-assisted analytics, analytics engineering (dbt), advanced experimentation design, and in-depth healthcare data governance.

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