Data Integration Analyst, AI & Risk Adjustment
New
R
ReveleerHealthcare
United StatesFull-TimeMiddle
Salary105,000 - 135,000 USD per year
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Job Details
- Required Skills
- PythonETLMicrosoft SQL ServerData modeling
Requirements
- Bachelor's degree in a quantitative, scientific, or technical field, or equivalent hands-on experience.
- Proven coding ability and demonstrable experience working with relational database technology.
- Strong proficiency in SQL Server / T-SQL or a comparable relational database.
- Ability to design creative solutions to parse and structure complex, messy, or unfamiliar data.
- Experience designing, testing, and refining algorithms or analytical logic against real-world data.
- Experience cleaning, mapping, and validating data from multiple sources and file formats.
- Experience building repeatable, maintainable ETL or data-ingestion workflows.
- Strong attention to detail with a methodical approach to data quality and validation.
- Clear written and verbal communication skills for cross-functional collaboration.
- Self-starter capable of taking ownership end-to-end with high autonomy.
Responsibilities
- Serve as technical point of contact for customer data ingestion from diverse formats.
- Ingest source data into SQL Server while building scalable, repeatable routines.
- Write and maintain SQL to transform raw source data into platform-ready outputs.
- Monitor data pipelines for errors and remediate quality issues.
- Build and maintain data foundations for retrospective risk adjustment coding.
- Develop, test, and refine condition-suspecting algorithms.
- Design and build semantic data structures to improve AI tool accessibility.
- Migrate and refactor semantic analytics tables into production environments.
- Document data models, transformation logic, and algorithms to build institutional knowledge.
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