Sr. Quality Data Analyst

agilon health; United States; Remote; USD 87,000 - 107,000; Full time

Job summary

A leading healthcare organization is looking for a Sr. Quality Data Analyst to monitor and validate data accuracy for quality-related files. The role involves collaborating with technology teams, conducting data reconciliations, and ensuring informative reporting for HEDIS programs, requiring strong analytical skills and SQL experience.

Qualifications

• 7 years of business or healthcare experience.
• 5+ years of experience with HEDIS/Stars/Quality healthcare data.
• Proficient in SQL for reporting.

Responsibilities

• Ensure accuracy and integrity of quality data sources for reporting.
• Identify data-related issues and conduct root cause analyses.
• Develop monthly HEDIS data reconciliation reporting.

Skills

Data validation

Root cause analysis

Communication

SQL

Quantitative analysis

Education

Bachelor's Degree in business or quantitative discipline

Job description

Company:AHI agilon health, inc.Job Posting Location:Remote - USAJob Title: Sr. Quality Data AnalystJob Description:

The Sr. Quality Data Analyst is responsible for monitoring and validating the data accuracy of inbound and outbound quality-related files, identifying data inconsistencies, assessing impact, conducting data gap reconciliation activities, implementing mitigation strategies, and providing analytical and operational support for our HEDIS programs.

Key Responsibilities

The following duties and responsibilities generally reflect the expectations of this position but are not intended to be exhaustive.

• The Sr. Quality Data Analyst will ensure accuracy, integrity, consistency, and completeness of quality data sources used for reporting purposes (e.g., Core Data and the various supplemental data sources).
• Responsible for working with technology teams to automate the process of gathering, ingesting, and loading data files received from our contracted Health Plans and validating that the information has landed appropriately in our systems for business uses.
• Identifies data-related issues and conducts root cause analyses; facilitates resolution of known issues by working directly with business leadership and technology teams across the enterprise.
• Develops and executes test processes related to end-user data and databases; documents and tracks data-related issues and facilitates their resolution.
• Performs the full range of responsibilities for the company's Quality Management supplemental data submissions process, which includes ensuring data files are mapped appropriately and data contents are complete, accurate, and delivered timely to our health plan partners.
• Develop processes and analytics to monitor inbound quality data feeds (example: Gaps reports and Scorecard) are received from our health plan partners as expected
• Performs HEDIS data reconciliation activities with health plans and works with various business units to identify root causes of data leakage
• Develop monthly HEDIS data reconciliation reporting capabilities for management
• Leads market status meetings with internal and external business partners related to HEDIS performance measurements
• Shares business and technical knowledge by training and mentoring junior team members

Qualifications

Education:

• Bachelor's Degree in business or quantitative discipline required

Experience:

• 7 years of business or healthcare experience in designing, producing, and interpreting quantitative and qualitative analysis outputs
• 5+ years of experience in HEDIS/Stars/Quality healthcare data
• Experience with SQL and the ability to create queries for reporting and analytic purposes
• Excellent written/verbal communication skills.
• Must be able to speak, read, and write English proficiently. Ability to effectively present information and respond to questions from managers, peers, physicians, members, and the general public.

Location: Remote - OHPay Range: $87,000.00 - $106,600.00

Salary range shown is a guideline. Individual compensation packages can vary based on factors unique to each candidate, such as skill set, experience, and qualifications.