高级数据分析师

WHO WE ARE

NeueHealth is a value-driven healthcare company grounded in the belief that all health consumers are entitled to high-quality, coordinated care. By uniquely aligning the interests of health consumers, providers, and payors, we help to make healthcare accessible and affordable to all populations across the ACA Marketplace, Medicare, and Medicaid.

NeueHealth delivers clinical care to health consumers through our owned clinics – Centrum Health and Premier Medical – as well as unique partnerships with affiliated providers across the country. We also enable providers to succeed in performance-based arrangements through a suite of technology and services scaled centrally and deployed locally. Through our value-driven, consumer-centric approach, we are committed to transforming healthcare and creating a better care experience for all.

Job Summary

NeueHealth seeks a detail-oriented and technically proficient Data Analyst to focus on the bronze layer of our Medallion Architecture.  In this foundational role, you will serve as the critical bridge between our 3rd party sources and data collection systems, ensuring that raw, unprocessed data is properly mapped, ingested, and normalized for consumption by our data engineering and analytics teams.  The ideal candidate combines SQL expertise and Scala, prior healthcare knowledge, and a commitment to data quality.

Duties & Responsibilities

• Document data mapping to ingest raw data from diverse sources into the Bronze layer of our data lake

• Approach complex data mapping challenges with creativity and a solution-oriented mindset

• 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

• Other duties and responsibilities as assigned

Experience & Qualifications

• Bachelor's degree in Information Technology, Analytics or a 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 environment

• Knowledge of ETL/ELT methodologies and best practices

• Understanding of data modeling concepts and techniques

• Experience with data quality management and testing frameworks

Professional Competencies

• 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 the 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

Why Join Us?

• Drive transformative healthcare outcomes through data platform solutions

• Collaborate closely with talented teams in a dynamic, startup-oriented environment

• Drive impact by making our data more valuable and accessible across the organization

• Professional growth and development opportunities

As an Equal Opportunity Employer, we welcome and employ a diverse employee group committed to meeting the needs of NeueHealth, our consumers, and the communities we serve. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, age, national origin, protected veteran status, disability status, sexual orientation, gender identity or expression, marital status, genetic information, or any other characteristic protected by law.