Senior Data Analyst / HEDIS

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Senior Data Analyst / HEDIS, 18-month contract, focusing on clinical data and HEDIS metrics. Key skills include QA testing, knowledge of healthcare data standards, and strong communication. AWS Redshift experience is preferred.
🌎 - Country
United States
πŸ’± - Currency
$ USD
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πŸ’° - Day rate
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πŸ—“οΈ - Date discovered
September 13, 2025
πŸ•’ - Project duration
More than 6 months
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🏝️ - Location type
Unknown
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πŸ“„ - Contract type
Unknown
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πŸ”’ - Security clearance
Unknown
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πŸ“ - Location detailed
Garner, NC
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🧠 - Skills detailed
#Redshift #Data Analysis #AWS (Amazon Web Services)
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 β€’ Experience working with clinical data and quality measure calculations β€’ Experience with QA testing, including the creation and execution of data-focused test cases β€’ Strong understanding of HEDIS measures and how claims and clinical data work to inform those measures β€’ Knowledge of healthcare data formats and standards (e.g., HL7, ICD-10, CPT, LOINC, SNOMED) β€’ Ability to work well within a cross-departmental team β€’ Ability to effectively communicate with non-technical colleagues Desired Skills & Experience β€’ AWS Redshift experience preferred What You Will Be Doing Daily Responsibilities β€’ Serving as a subject matter expert on the analytics team when it comes to clinically-based HEDIS metrics β€’ Helping to maintain the processes that ingest and integrate claims and clinical data to produce quality metrics and associated care gaps β€’ Helping support the submission of clinical data to respective payers Posted By: Jannice Papo