Data Analyst

Infinitus Systems•San Francisco, CA

11d•Hybrid

About The Position

Infinitus is hiring a Data Analyst to help evolve its analytical ecosystem and make data accessible, insightful, and actionable across the company. The role involves hands-on complex data exploration and advanced modeling, translating messy healthcare data into strategic narratives, and partnering with product pods and business leaders on high-stakes problems. The analyst will help define standards for metric modeling and insight validation, introduce modern practices for deep-dive analyses and scalable reporting, and help colleagues improve their data skills. Opportunities are available to develop skills in AI-assisted analytics, analytics engineering (dbt), advanced experimentation design, and healthcare data governance. The team aims to deliver high-fidelity insights and intuitive data assets that enable faster, more confident decisions about product opportunities, operational bottlenecks, and impact measurement. This is a hybrid role based out of the San Francisco office, with in-office days Monday, Tuesday, and Thursday.

Requirements

At least 5 years of professional experience in data analytics, including tackling complex problems and delivering high-stakes insights.
Deep fluency in SQL and ability to write sophisticated, maintainable queries.
Strong proficiency in Python or R for advanced data manipulation, statistical modeling, and hypothesis testing.
Ability to explore ambiguity and translate open-ended business questions into well-defined analytical solutions.
Expertise in analytical methodology, including statistical validation, optimization models, and interpreting trends in messy, multi-source data.
Hands-on experience with modern visualization and dashboarding tools such as Sigma, Hex, Tableau, or Looker.
Strong communication skills, including translating technical findings into a clear path forward for product teams and executive leadership.
Interest in helping others improve their use of data and strengthening the team's analytical rigor.
Must be authorized to work in the United States without employer sponsorship.

Nice To Haves

Interest in developing skills in AI-assisted analytics, analytics engineering (dbt), advanced experimentation design, and in-depth healthcare data governance.

Responsibilities

Create analytical frameworks, metric standards, and shared methodologies that help partner teams self-serve and scale insight use cases.
Define standards for hypothesis testing, experimentation design, and statistical validation, and establish best practices for interpreting data consistently.
Partner with leaders to translate complex data into strategic recommendations about product priorities and resource investment.
Guide partner teams in designing experiments, interpreting data accurately, and producing better insights through technical guidance, documentation, and training.
Expand and maintain automated reporting, alerting, and validation processes to monitor performance and identify trends.
Integrate data integrity, privacy, and compliance standards into analytical workflows.