[Hiring] Data Integration Analyst @Reveleer

Role Description

As a Data Integration Analyst on the AI & Data team, you will design and build the systems and data pipelines that move raw healthcare data into structured, reusable form. You will have ownership of ensuring that customers are able to effectively connect their data systems with the Reveleer ecosystem. Your work will span several connected domains:

• Ingesting and transforming customer data for medical record retrieval.
• Building the data foundations for retrospective risk adjustment coding.
• Developing condition-suspecting algorithms that surface likely undocumented diagnoses.
• Semantically structuring underlying data for accessibility to AI tools.

This is a high-autonomy role with a high ceiling. If you are smart, curious, self-motivated, and driven, you will have significant freedom to decide how the work gets done, and a correspondingly large opportunity for impact, growth, and advancement.

Qualifications

• Bachelor's degree in a quantitative, scientific, technical, or related field, or equivalent hands-on experience.
• Proven, hands-on coding ability and demonstrable experience working with database technology.
• Demonstrated ability to design creative, original solutions to parse, structure, and make sense of complex, messy, or unfamiliar data.
• Comfort designing, testing, and refining algorithms or analytical logic against real-world data.
• Experience cleaning, mapping, and validating real-world data from multiple sources and file formats into a required structure.
• Experience building repeatable, maintainable ETL or data-ingestion workflows.
• Strong attention to detail and a structured, methodical approach to data quality and validation.
• Clear written and verbal communication skills, including the ability to work directly with customers and internal teams.
• Self-starter who takes ownership end-to-end and thrives with autonomy.

Requirements

• Experience in health insurance or another healthcare-related field is ideal but not required.
• Graduate study or research experience in a quantitative or scientific discipline.
• Familiarity with SQL Server Integration Services (SSIS) or comparable ETL tooling.
• Exposure to Python for data manipulation and automation.
• Understanding risk adjustment (including retrospective risk adjustment coding, HCCs, or condition suspecting), medical record retrieval, or value-based care operations.
• Exposure to preparing, structuring, or engineering data for AI/ML tools and workflows.
• Experience supporting customer onboarding or client data implementations.

Benefits

• Competitive salary
• Medical, Dental and Vision benefits
• 401k match
• Generous PTO plan