Data Analyst

Infinitus

$90K — $130K *
Information Technology
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • 7+ years of experience in data analytics with a focus on large, complex datasets
  • Background in regulated industries, specifically healthcare preferred
  • Deep fluency in SQL (5+ years)
  • Strong proficiency in Python for analytics workflows
  • Familiarity with visualization tools like Tableau or Power BI
  • Capability to build and validate statistical/machine learning models
  • Master's degree in Mathematics, Engineering, or Data Science; Bachelor's in a related field

Responsibilities

  • Lead advanced statistical and predictive analysis to inform executive strategy
  • Develop AI-powered analytics and automated reporting systems for better outcomes
  • Create and maintain KPIs and dashboards to guide business decisions
  • Collaborate with various teams to integrate analytics into strategic initiatives
  • Mentor junior analysts in their analytical skills and communication
  • Ensure compliance and governance in all analytics work
  • Design optimization models and seasonal analyses for operational efficiency

Benefits

  • Hybrid work model with office days and catered lunches
  • Competitive salary with equity and 401(k) options
  • Wellness stipend along with medical, dental, and vision insurance
  • Generous PTO and parental leave policies
  • Collaborative environment with bi-annual team offsites
Full Job Description
Your Role

We're looking for a Data Analyst to help guide the evolution of our analytical ecosystem, ensuring our data isn't just accessible, but deeply insightful and actionable across the company.

In this role, you'll be hands-on with complex data exploration, advanced modeling, and the translation of messy healthcare data into clear strategic narratives. You'll partner closely with our product pods and business leaders to solve high-stakes problems, while also helping define the standards for how we model metrics and validate insights. You'll bring modern practices to how we conduct deep-dive analyses and build scalable reporting, while helping other analysts and stakeholders level up their ability to work with data.

There are also opportunities to develop skills in AI-assisted analytics, analytics engineering (dbt), advanced experimentation design, and in-depth healthcare data governance, should these areas interest you.

Our team's mission is to deliver high-fidelity insights and intuitive data assets that empower our internal teams to make faster, more confident decisions when identifying product opportunities, troubleshooting operational bottlenecks, and measuring our impact

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. You'll 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.

Why You'll Love It Here

Please Note: the following benefits are for salaried employees
  • Hybrid work (SF office Mon/Tues/Thurs) + catered lunches (Bay Area Positions only)
  • Competitive salary, equity, and 401(k)
  • Wellness stipend & great benefits (medical, dental, vision)
  • Generous PTO & parental leave
  • Bi-annual offsites & a collaborative, mission-driven culture

What to Expect in the Interview Process
  • Apply & meet our recruiting team
  • Virtual interviews to showcase your skills
  • Final onsite loop to meet the team and get to know us better
  • Chat with our CEO

Curious to Learn More?
  • Read our Blog to hear from Infinauts about what we're building
  • Discover how our company values (CODES) guide us
  • Follow our CEO, Ankit Jain, for industry updates

We're building AI agents that tackle healthcare's toughest problems and open new possibilities. Ready to join us? Let's talk!

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