Role Summary
A Data Quality Analyst is responsible for ensuring the integrity, accuracy, and accessibility of data within a healthcare data environment. This mid- to senior-level role involves analyzing large datasets, developing automated reporting solutions, and implementing data quality standards. The position requires collaboration with cross-functional teams to support government health programs by detecting and preventing fraud, waste, and abuse through robust data management and quality assurance practices.
Responsibilities
Analyze data from multiple sources to identify errors, inconsistencies, and areas for improvement.
Develop and implement processes to enhance data quality, including data cleansing and transformation techniques.
Ensure the accuracy, completeness, and reliability of datasets, particularly within APS and other structured and unstructured data types.
Create, refine, and support automated data reporting solutions using tools such as Power BI, Tableau, Excel, and SQL.
Document data quality procedures, prepare reports, and recommend process improvements to stakeholders.
Design and develop dashboards and scripts to monitor ongoing data integrity and quality metrics.
Perform statistical tests and validation checks to assess data quality and support decision-making.
Provide training and support to internal users and stakeholders on data quality practices and tools.
Collaborate with teams to improve data collection, storage, and governance standards aligned with industry best practices.
Conduct peer reviews of team member outputs to ensure quality and consistency of deliverables.
Qualifications
Bachelor’s degree or higher in Computer Science, Data Analytics, Information Technology, or a related field.
At least 5 years of professional experience in a data analytics or data quality role, preferably within healthcare or government sectors.
Proficiency with data analysis and visualization tools such as SQL, Power BI, Tableau, R, Python, and AWS Quicksight.
Strong knowledge of databases (PostgreSQL, Oracle) and data modeling principles.
Advanced Excel skills, including pivot tables, formulas, and conditional formatting.
Experience working within agile frameworks such as SAFe or Scrum, with tools like Jira and Confluence.
Excellent communication skills and the ability to work effectively both independently and within a team.
Ability to manage multiple projects simultaneously under tight deadlines.
This position requires eligibility for a U.S. Government security clearance. In accordance with federal law, U.S. citizenship is required.
Publishing Pay Range: $44.00 - $48.00 Hourly
This is a fully remote role and can be performed from an approved location.