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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105,000 - 135,000 USD per year
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