Senior Data Analyst

We’re 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 what’s 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 funding—and we need your expertise to make it real.

Expect your friends to ask why you’re 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 understand 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.
• Prior experience at a healthtech like Flatiron, Komodo, or Oscar is a huge plus!

What you’ll work on

• You’ll 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 analysis—leading to better incentive alignment across stakeholders.
• Continuously validate findings and iterate on solutions to drive better health outcomes and cost savings.

Technical Requirements

• Python (with strong experience in data manipulation libraries like pandas, dask, or polars)
• SQL (deep understanding of complex joins, window functions, and performance optimization)
• ETL/ELT Pipelines (experience designing scalable data pipelines for batch and streaming data)
• Cloud Infrastructure (preferably AWS, with expertise in services like S3, Lambda, Glue, Redshift, or Athena)
• Data Modeling (experience designing schemas for healthcare data structures like claims data, eligibility files, and encounter records)
• APIs and Integrations (familiarity with REST/GraphQL and interfacing with third-party data sources)

Healthcare & Insurance Data Expertise

Since Clearest Health is focused on claims management, plan design analytics, and TPA workflows, deep knowledge of healthcare data models will be key.

• Familiarity with 837/835 EDI claims formats
• Understanding of CPT, ICD-10, and HCPCS coding systems
• Knowledge of payer logic, copay models, and pricing methodologies
• Experience working with HIPAA compliance, PHI security, and data anonymization practices

AI/ML Capabilities

• A solid understanding of ML pipelines, data labeling, and deploying predictive models would be advantageous given your AI claims automation goals.
  Familiarity with tools like scikit-learn, XGBoost, or TensorFlow to support building and refining automated decisioning models.

Data Quality and Observability

• Proficient in tools like Great Expectations, dbt, or custom-built frameworks for data quality checks and error handling.
• Experience in building robust logging, alerting, and data lineage tracking solutions to ensure reliable data pipelines.