Data Analyst

Job description

Key Responsibilities Data Extract Development & Implementation • Build client-specific extracts based on technical and clinical documentation. • Translate RWD specifications into executable SQL logic. • Develop and maintain database queries, procedures, and pipelines for structuring RWD. • Implement extract logic aligned with definitions, inclusion/exclusion criteria, and business rules. • Follow version-controlled workflows to ensure traceability and reproducibility. Real-World Data Support • Work with diverse healthcare datasets: o Open and closed claims o EHR/EMR records o Lab results o NLP-derived and unstructured data • Apply knowledge of healthcare data structures and coding systems (ICD, CPT, LOINC, NDC). • Account for source-specific nuances during extract development. Quality & Delivery • Review extract outputs to ensure alignment with specifications. • Troubleshoot logic and data issues in collaboration with peers. • Incorporate feedback and evolving requirements into extract logic. • Support downstream delivery by producing reliable, well-documented datasets. Collaboration & Teamwork • Partner with analytics, engineering, and delivery teams to clarify requirements. • Participate in a team-based delivery model. • Communicate clearly around logic, assumptions, and data considerations. • Contribute to shared documentation and knowledge bases. Required Experience • Bachelors degree in Data Science, Computer Science, Engineering, Public Health, Biostatistics, Epidemiology, or related field. • 2+ years working with and querying large healthcare databases. • Strong proficiency in SQL, including complex multi-table queries. • Hands-on experience with claims, EHR/EMR, and lab data. • Understanding of the life sciences industry and drug development lifecycle. • Experience implementing data specifications in production environments. • Familiarity with Git or other version control systems. • Strong attention to detail and ability to work within structured requirements. • Proven ability to collaborate effectively in team settings. Preferred Skills • Exposure to unstructured or NLP-derived healthcare data. • Experience translating clinical/scientific documentation into database logic. • Familiarity with Python, R, Airflow, or similar tools for data pipelines. • Experience supporting client-facing data delivery workflows. • Comfort working in governed, production-oriented environments. • Experience collaborating with clients to translate needs into actionable outputs.