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Healthcare Data Quality Analyst Jobs (NOW HIRING)

UnitedHealth Group

Associate Quality Analyst

Washington, DC · On-site +1

$60K - $107K/yr

Through this work, teams contribute to better health outcomes by improving how care, data, and ... If not, open to remote outside of these areas Position Summary As an Associate Quality Analyst on ...

Arka Infotech Inc

Healthcare Data Architect

Richmond, VA · On-site

$63 - $81.25/hr

Position: Healthcare Data Architect Location: Richmond, VA Length: 3 months- w/option for extension ... analytics hubs and data marts. o Perform the detailed data analysis. Verify natural keys through ...

Direct Care

Quality Analyst-Home Health

Washington, DC · On-site

$75K - $90K/yr

About Direct Care Home Health Services**Direct Care Home Health Services is a mission-driven home ... Performance Improvement & Data Tracking*** Track and trend quality metrics such as documentation ...

Inovalon

Informatics Product Lead, RWD

Bowie, MD · On-site

Job Requirements: * 8+ years of experience in healthcare data, clinical informatics, data quality, analytics, or a related field with a Bachelor's degree required; or * 5+ years of experience in ...

PurpleLab

Data Analyst Engineer

$150K - $180K/yr

... quality healthcare data is available for analysis. DUTIES AND RESPONSIBILITIES: • Design, develop, and maintain robust ETL (Extract, Transform, Load) processes to ensure seamless ingestion and ...

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How much do healthcare data quality analyst jobs pay per hour?

As of Sep 12, 2026, the average hourly pay for healthcare data quality analyst in the United States is $37.33, according to ZipRecruiter salary data. Most workers in this role earn between $29.09 and $42.31 per hour, depending on experience, location, and employer.

What is a healthcare data quality analyst?

A Healthcare Data Quality Analyst ensures the accuracy, consistency, and reliability of healthcare data used for decision-making, reporting, and compliance. They analyze data for errors, implement quality control procedures, and collaborate with IT and healthcare teams to improve data integrity. Their role supports patient care, regulatory compliance, and operational efficiency by maintaining high data quality standards.

What are the most common challenges healthcare data quality analysts face in their daily work?

Healthcare Data Quality Analysts often deal with challenges such as integrating data from multiple sources, identifying and resolving discrepancies or inconsistencies, and ensuring data complies with industry regulations. Navigating different electronic health record (EHR) systems or adapting to frequent changes in data reporting requirements can also be demanding. Analysts must work closely with both technical IT teams and non-technical healthcare staff to clarify data definitions and improve data capture processes. Successfully overcoming these challenges is essential for maintaining high standards of data accuracy and supporting effective clinical and business decisions.

What are the key skills and qualifications needed to thrive as a healthcare data quality analyst?

To thrive as a Healthcare Data Quality Analyst, you need a strong background in data analysis, attention to detail, and a solid understanding of healthcare data standards and regulations, often supported by a degree in health informatics, information systems, or a related field. Familiarity with data management tools like SQL, Excel, EHR systems, and knowledge of HL7 or HIPAA compliance is typically required, with certifications such as Certified Health Data Analyst (CHDA) being advantageous. Strong analytical thinking, problem-solving abilities, and effective communication skills help you collaborate with clinicians, IT teams, and administrators. These skills are essential for ensuring the accuracy, integrity, and usability of critical healthcare data, which directly impacts patient care and organizational decision-making.

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Healthcare Data Quality Analyst jobs near you
Infographic showing various Healthcare Data Quality Analyst job openings in the United States as of September 2026, with employment types broken down into 1% As Needed, 80% Full Time, 14% Part Time, 4% Contract, and 1% Nights. Highlights an 88% Physical, 1% Hybrid, and 11% Remote job distribution, with an average salary of $77,642 per year, or $37.3 per hour.

Data Warehousing Analyst (Healthcare)

Tallahassee, FL • On-site

CIYIS
Business Management Consulting • 11 - 50 employees
Learn more about CIYISexternal

Full-time

This job post has expired today. Applications are no longer accepted.

Job description

Data Warehouse Analyst (Healthcare Analytics)
Location
Tallahassee, FL (Hybrid)
Employment Type
Full-Time / Contract
About CIYIS
CIYIS is a management consulting, technology, and engineering services firm that helps government, healthcare, and critical infrastructure organizations modernize operations, improve decision-making, and leverage data-driven solutions. We combine deep business expertise with advanced analytics, digital transformation, and technology modernization capabilities to solve complex organizational challenges.
Position Overview
CIYIS is seeking an experienced Data Warehouse Analyst to support healthcare analytics, business intelligence, reporting, and data-driven decision making initiatives. The successful candidate will work with large, complex healthcare datasets to develop insights, identify trends and anomalies, support program integrity initiatives, and deliver actionable business intelligence solutions.
This role requires strong analytical and technical skills with the ability to communicate findings effectively to technical and non-technical stakeholders. The ideal candidate has experience working with healthcare claims, provider, eligibility, or encounter data and is comfortable operating in highly regulated environments involving Protected Health Information (PHI).
Key Responsibilities
  • Analyze large healthcare datasets including claims, provider, encounter, eligibility, and operational data.
  • Identify trends, anomalies, risks, and opportunities through advanced analytical techniques.
  • Design, develop, and maintain dashboards, reports, and business intelligence solutions.
  • Develop and optimize SQL queries, datasets, data models, and reporting solutions.
  • Collaborate with business stakeholders to gather requirements and translate analytical needs into technical solutions.
  • Develop and validate data extracts that support operational reporting, regulatory reporting, and performance measurement activities.
  • Create technical documentation, data dictionaries, reporting methodologies, and process documentation.
  • Support data quality initiatives and ensure accuracy and integrity of data assets.
  • Present analytical findings and recommendations to business leaders and stakeholders.
  • Participate in special projects involving predictive analytics, machine learning, fraud detection, and performance improvement initiatives.
  • Support data governance, security, privacy, and compliance requirements.
  • Perform other duties as assigned.
Required Qualifications
  • Bachelor's degree in Data Science, Statistics, Computer Science, Information Systems, Mathematics, Analytics, or a related field.
  • Minimum of 5 years of experience in data analytics, business intelligence, data warehousing, or reporting.
  • Strong SQL experience, including complex query development and performance optimization.
  • Experience using SAS, Python, or comparable analytical tools.
  • Experience developing dashboards and reports using Tableau, Power BI, SSRS, or similar visualization platforms.
  • Strong understanding of data warehousing concepts and analytical methodologies.
  • Exceptional analytical, problem-solving, and critical thinking skills.
  • Excellent verbal and written communication skills.
  • Ability to communicate complex technical information to non-technical audiences.
  • Ability to work independently and collaboratively in team environments.
Preferred Qualifications
  • Healthcare, Medicaid, Medicare, payer, or health services analytics experience.
  • Experience with healthcare claims, provider, eligibility, encounter, or population health data.
  • Experience supporting fraud, waste, abuse, compliance, or program integrity initiatives.
  • Experience working with government healthcare programs or public sector organizations.
  • Experience with cloud platforms such as Microsoft Azure or AWS.
  • Experience with machine learning, predictive analytics, statistical modeling, or risk stratification methodologies.
  • Knowledge of HIPAA, healthcare data governance, and regulatory reporting requirements.
  • Experience with data extraction, transformation, and loading (ETL) processes.
Desired Technical Skills
  • SQL Server
  • SQL
  • SAS
  • Python
  • Tableau
  • Power BI
  • SSRS
  • Azure
  • AWS
  • ETL Development
  • Data Warehousing
  • Data Modeling
  • Business Intelligence
  • Analytics
  • Dashboard Development
  • Data Governance
  • Healthcare Analytics

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