SlipstreamJobs tracks this role from the company's public career site. Apply directly on the employer's site.
NeueHealth is a value-driven healthcare company transforming how health consumers access coordinated, affordable care across the ACA Marketplace, Medicare, and Medicaid. The company operates owned clinics (Centrum Health and Premier Medical) and partners with affiliated providers nationwide, using technology and services to enable providers to succeed in performance-based arrangements.
As a Senior Data Analyst, you will serve as a critical bridge between third-party data sources and NeueHealth's data collection systems. You will focus on the Bronze layer of the Medallion Architecture, ensuring raw, unprocessed data is properly mapped, ingested, and normalized for consumption by data engineering and analytics teams.
Key responsibilities include:
- Document data mapping to ingest raw data from diverse sources into the Bronze layer of the data lake
- Approach complex data mapping challenges with creativity and solution-oriented thinking
- Document data lineage and ingestion logic for transparency and compliance
- Establish and monitor data quality checks within the ingestion process to identify anomalies, missing values, schema drift, and data quality issues
- Troubleshoot ingestion issues and implement effective solutions
- Implement dashboards to track data health in the Bronze layer
- Foster a culture of operational excellence and continuous improvement within data operations
You will work in a dynamic, startup-oriented environment with talented teams, driving transformative healthcare outcomes through data platform solutions and making data more valuable and accessible across the organization.
REQUIREMENTS:
- Bachelor's degree in Information Technology, Analytics, or similar field, or equivalent experience
- 4+ years of experience as a Data Analyst or in a similar analytics role
- Strong SQL skills and familiarity with data manipulation in raw formats
- Experience working with complex healthcare data (strongly preferred)
- Relevant experience working with large datasets in data lake environments
- Knowledge of ETL/ELT methodologies and best practices
- Understanding of data modeling concepts and techniques
- Experience with data quality management and testing frameworks
- Excellent analytical and problem-solving capabilities
- Ability to manage priorities effectively in a dynamic environment
- Strong attention to detail and passion for data accuracy and traceability
- Self-driven with ability to work independently and as part of a team
- Effective communication skills to collaborate with technical and non-technical stakeholders
PREFERRED QUALIFICATIONS:
- Experience with Scala
- Experience with Databricks environment
- Familiarity with modern data architecture patterns
- Experience with big data technologies (Spark, Delta Lake)
- Knowledge of data governance principles
- Previous work in a data-driven organization
