Clearest Health
Were solving the most important problem in America for the following century: health care. And we need a Senior Data Analyst to take our existing product from 4x better to be 10x better than whats out there.
This is a unique opportunity to work on a unique data source, write stupid fast queries, and impact the health and savings of 60% of the American population by transforming a $300B market with better data-driven incentives. You will report directly to the CEO and collaborate across product, engineering, and clinical stakeholders. We have a robust roadmap, strong sales traction, and significant fundingand we need your expertise to make it real.
Expect your friends to ask why youre working so hard and then ask if they can join you.
Role Requirements
2+ years of professional data analysis or data science experience. Deep expertise in data modeling, visualization, and statistical analysis.
You can balance practical business needs with analytical rigor. Deep proficiency in SQL.
You enjoy wrangling large datasets, creating dashboards, and automating processes. Claude and Cursor experience.
90% of the job is understanding what is needed, the other 10% is using AI tools to ship relentlessly fast. Experience with healthcare data, insurance data, or risk modeling.
Familiarity with claims data, actuarial analysis, or population health metrics is a plus. What youll work on
Youll work on
highly sensitive, health claim data . This is data that less than 0.1% of the industry has access to. We have
clear questions to
answer from around 50+ tables. Build out
advanced dashboards and analytical frameworks that surface actionable insights to product, sales, and executive teams. Develop and refine
models for utilization, risk stratification, and cost analysisleading to better incentive alignment across stakeholders. Continuously validate
findings and iterate on solutions to drive better health outcomes and cost savings. Technical Requirements
SQL ninja. Data visualization best practices. Extra credit if you have risk modeling and predictive model experience.
#J-18808-Ljbffr
2+ years of professional data analysis or data science experience. Deep expertise in data modeling, visualization, and statistical analysis.
You can balance practical business needs with analytical rigor. Deep proficiency in SQL.
You enjoy wrangling large datasets, creating dashboards, and automating processes. Claude and Cursor experience.
90% of the job is understanding what is needed, the other 10% is using AI tools to ship relentlessly fast. Experience with healthcare data, insurance data, or risk modeling.
Familiarity with claims data, actuarial analysis, or population health metrics is a plus. What youll work on
Youll work on
highly sensitive, health claim data . This is data that less than 0.1% of the industry has access to. We have
clear questions to
answer from around 50+ tables. Build out
advanced dashboards and analytical frameworks that surface actionable insights to product, sales, and executive teams. Develop and refine
models for utilization, risk stratification, and cost analysisleading to better incentive alignment across stakeholders. Continuously validate
findings and iterate on solutions to drive better health outcomes and cost savings. Technical Requirements
SQL ninja. Data visualization best practices. Extra credit if you have risk modeling and predictive model experience.
#J-18808-Ljbffr