Data Analyst

Job Title: Data Analyst Location: Remote (must work Eastern Time business hours, 9–5 ET) About The Company We are a leading national healthcare company focused on improving clinical outcomes and reducing medical costs for a large member population. Our data science team supports Condition Management programs that identify members living with chronic illness and help them take preventive steps to stay healthy and out of the hospital. Job Summary We are looking for a Data Analyst to join a data science team supporting Condition Management campaigns across cardiovascular, respiratory (COPD, asthma), women's health, and musculoskeletal conditions. This role works extensively with medical claims data to compile the analyses and reports that inform predictions of which members may have, or be at risk for, a specific condition. You will work day to day alongside a senior team member who provides hands-on mentorship, making this an excellent opportunity for an early-career analyst looking to grow into healthcare data science.

Key Responsibilities

Claims Data Analysis: Use SQL and Python to query, clean, and analyze large medical claims datasets to support condition identification and preventive care initiatives. Reporting: Compile recurring and ad hoc reports that feed predictive work on chronic condition risk and campaign targeting. Population Sizing: Identify and size member populations by condition (e.g., cardiovascular, COPD/asthma, musculoskeletal, women's health) to support outreach planning. Data Quality: Validate data, document logic, and error-check outputs before they reach stakeholders. Collaboration: Partner closely with a senior mentor and the broader data science team, translating questions into clear analyses and communicating results. Campaign Support: Help measure whether preventive care outreach is reaching the right members and driving the intended outcomes.

Requirements

Experience: 1–3 years of hands-on data analysis experience (internships and graduate research count). Skills: Proficiency in SQL and Python is required. Education: Bachelor's or Master's degree in Statistics, Biostatistics, Epidemiology, Public Health, Health Informatics, Data Science, or a related quantitative field. Mindset: Eager to learn and seeking regular mentorship; strong attention to detail and problem-solving skills. Schedule: Able to work Eastern Time business hours (9 AM–5 PM ET).

Preferred Qualifications

Familiarity with healthcare data, especially medical or pharmacy claims (ICD-10, CPT, NDC codes). Interest in chronic disease management and preventive care. Exposure to population health, HEDIS/quality measures, or payer data.

Benefits

Competitive Pay: Market-aligned compensation Remote Work: Fully remote team Mentorship: Daily collaboration with a senior data scientist Professional Development: Hands-on experience with large-scale healthcare data and modern analytics tools Impact: Work that directly supports members managing chronic conditions