Business Data Analyst working within Revenue Operations. Leveraging data insights and analysis to optimize product decisions and improve user experiences.
About the role
- Senior Data Analyst handling complex healthcare data sets using AI and statistical modeling. Collaborating cross-functionally to guide strategic decisions and mentor junior analysts.
Responsibilities
- Lead high-impact analysis: Design and deliver advanced statistical, predictive, and optimization models that shape executive-level strategy and operational decisions.
- Build better tools: Lead the development of AI-powered analytics and automated reporting systems to improve performance and outcomes.
- Drive insight at scale: Create and maintain KPIs, dashboards, and monitoring systems that identify trends, uncover opportunities, and guide business strategy.
- Collaborate deeply: Work closely with cross-functional teams to integrate analytics into product roadmaps, operational processes, and strategic initiatives.
- Mentor and elevate: Help junior analysts grow their skills in analysis, communication, and technical execution.
- Safeguard data integrity: Ensure analytics work meets rigorous compliance, governance, and privacy standards—especially in a regulated healthcare environment.
Requirements
- 7+ years in data analytics, with proven ability to extract insights from large, complex data sets.
- Background in regulated industries; healthcare experience strongly preferred.
- Deep fluency in SQL (5+ years)
- Strong Python skills for analytics workflows
- Experience with visualization tools (Sigma, Tableau, Power BI, Looker, Mode, Metabase, or Hex)
- Proficiency in building and validating statistical / machine learning models
- Expertise in optimization algorithms, seasonal models, and portfolio analysis
- Able to translate ambiguous business problems into clear, data-driven solutions.
- Comfortable working with multiple commercial partners on data sourcing, integration, and model building.
- Strong ability to translate complex findings into clear, compelling narratives for technical and non-technical audiences.
- Startup-tested, adaptable to shifting priorities, energized by complex problems.
- Master’s degree in Mathematics, Engineering, or Data Science; Bachelor’s in a related field such as Statistics, Computer Science, Economics, or Physics.
Benefits
- 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
- Hybrid work (SF office Mon/Tues/Thurs) + catered lunches (*Bay Area Positions only)*
Job title
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Not specified
Degree requirement
Tech skills
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