Data Analyst - Healthcare Domain

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 :

i. Open and closed claims

ii. EHR/EMR records

iii. Lab results

iv. 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.

(ref:hirist.tech)