Data Integrity Analyst Jobs

About The Position

Requirements

• High school diploma or GED.
• At least 5 years of experience in data analytics, HEDIS, SAS, or a related field.
• At least 5 years of experience analyzing healthcare data, HEDIS data, or relational healthcare databases, including significant experience with medical, pharmacy, and behavioral data.
• Extensive knowledge of the U.S. healthcare industry, health plan business, claims data, clinical data, and coding practices.
• Proficiency with Microsoft Excel for data analysis and reporting.
• Strong organizational skills and attention to detail.
• Ability to work in a fast-paced, team-oriented environment and manage competing priorities.
• Motivation and ability to work independently.

Nice To Haves

• Bachelor’s degree in Math, Statistics, Data Science, or Public Health; relevant experience may be substituted for the degree.
• Knowledge and working experience with visualization and business intelligence tools, such as Tableau; Tableau experience is preferred.
• Experience with SAS, SQL, and Python is strongly preferred.

Responsibilities

• Lead projects designed to improve HEDIS, Stars, accreditation, and State performance.
• Own vendor relationships for vendors engaged to improve quality performance.
• Develop quality assurance criteria and processes to ensure regulatory reporting data is complete and accurate.
• Serve as the analytics liaison for complex clinical analytics projects involving multiple data resources and teams.
• Translate business questions and needs into technical analytics requirements, including analytics design and clinical and data requirements.
• Create integrated analytic datasets and summarize findings to inform business opportunities and answer business questions.
• Provide insight and guidance on analytic findings, including root causes and contributing factors, through written and oral summaries, tables, charts, reports, and presentations.
• Coordinate across analytical and business units to communicate analytics design, results, and interpretation, and recommend how results can inform business decisions.
• Document methods, specifications, and findings, including SAS code comments and analytic plans or timelines where needed.
• Present analytics findings to internal leadership teams to identify actionable opportunities and solutions.
• Provide technical training to junior analysts in analytics design, data, programming, quality assurance, statistics, and documentation.

Benefits

• Comprehensive health benefits, including medical, dental, and vision coverage.
• Retirement plans.
• Generous paid time off.
• Incentive plans.
• Wellness programs.
• Paid volunteer time off.
• Tuition reimbursement.