Motion Recruitment

Senior Data Analyst / HEDIS

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Senior Data Analyst / HEDIS for an 18-month contract, offering a pay rate of "unknown." Work location is "remote." Key skills include clinical data experience, HEDIS measures knowledge, and QA testing. AWS Redshift experience is preferred.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
October 19, 2025
🕒 - Duration
More than 6 months
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🏝️ - Location
Unknown
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
Garner, NC
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🧠 - Skills detailed
#AWS (Amazon Web Services) #Redshift #Data Analysis
Role description
Our client is looking for a Senior Data Analyst to support the team responsible for generating HEDIS quality metrics/care gaps and reporting data to respective payers. Client has an existing platform for managing and reporting clinical quality metrics and are beginning the process of migrating to a new value-based care platform. This role will also support the enterprise in the implementation of a new value-based care platform including serving as the subject matter expert around clinical quality data/measures and being able to validate the data reported in the new platform. Contract Duration: 18 Months Required Skills & Experience • Experience working with clinical data and quality measure calculations • Experience with QA testing, including the creation and execution of data-focused test cases • Strong understanding of HEDIS measures and how claims and clinical data work to inform those measures • Knowledge of healthcare data formats and standards (e.g., HL7, ICD-10, CPT, LOINC, SNOMED) • Ability to work well within a cross-departmental team • Ability to effectively communicate with non-technical colleagues Desired Skills & Experience • AWS Redshift experience preferred What You Will Be Doing Daily Responsibilities • Serving as a subject matter expert on the analytics team when it comes to clinically-based HEDIS metrics • Helping to maintain the processes that ingest and integrate claims and clinical data to produce quality metrics and associated care gaps • Helping support the submission of clinical data to respective payers Posted By: Jannice Papo