LI
LiteraData Analyst
Data Analyst within Revenue Operations designing scalable reporting and data solutions. Leveraging Power BI and SQL to support actionable insights for sales, marketing, and customer success teams.
About the role
- 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
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
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