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Healthcare Data Warehousing Jobs (NOW HIRING)

AaraTechnologies Inc

DATA ENGINEER

California City, CA · On-site

$140K - $168K/yr

Support healthcare data ingestion and transformation * Assist in maintaining data warehouses and cloud platforms * Perform data quality checks and validations * Collaborate with BI and analytics ...

AaraTechnologies Inc

DATA ENGINEER

Kansas City, MO · On-site

$111K - $134K/yr

Support healthcare data ingestion and transformation * Assist in maintaining data warehouses and cloud platforms * Perform data quality checks and validations * Collaborate with BI and analytics ...

Techvilla Solutions

MN

Experience designing and implementing large-scale healthcare data warehouse and analytics solutions.

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Healthcare Data Warehousing information

What is healthcare data warehousing?

Healthcare data warehousing is the process of collecting, storing, and managing large amounts of healthcare data from various sources in a centralized repository. This enables healthcare organizations to efficiently analyze and report on clinical, financial, and operational information. Data warehouses support better decision-making, improve patient care, and help meet regulatory requirements by providing easy access to integrated and historical data.

What are some common challenges faced when implementing healthcare data warehousing solutions?

Professionals in healthcare data warehousing often encounter challenges related to integrating data from multiple, disparate sources such as electronic health records (EHRs), billing systems, and laboratory databases. Ensuring data quality and consistency while complying with strict privacy regulations like HIPAA can also be complex. Collaboration with IT, clinical, and administrative teams is essential to address data governance and maintain security. Additionally, adapting the warehouse to evolving healthcare standards and technologies requires continuous learning and flexibility.

What are the key skills and qualifications needed to thrive in healthcare data warehousing, and why are they important?

To thrive in Healthcare Data Warehousing, you need expertise in database management, data modeling, and a solid understanding of healthcare data standards, typically supported by a degree in computer science, health informatics, or a related field. Familiarity with technical tools such as SQL, ETL processes, data visualization platforms, and knowledge of HIPAA compliance are essential, along with certifications like Certified Health Data Analyst (CHDA). Strong analytical thinking, problem-solving, and communication skills help professionals collaborate effectively with clinical and IT teams. These skills ensure that healthcare organizations can securely store, manage, and analyze large volumes of data to improve patient care and operational efficiency.

What is the difference between Healthcare Data Warehousing vs Healthcare Data Analyst?

AspectHealthcare Data WarehousingHealthcare Data Analyst
Primary FocusDesigning, building, and maintaining data storage systemsAnalyzing data to generate insights and reports
Skills RequiredDatabase management, ETL processes, SQL, data modelingData analysis, visualization, statistical tools, SQL
Work EnvironmentIT teams, data management departmentsClinical, administrative, or research settings
CertificationsData management, database certificationsData analysis, healthcare analytics certifications

Healthcare Data Warehousing professionals focus on creating and maintaining data storage systems, ensuring data integrity and accessibility. Healthcare Data Analysts interpret this data to provide actionable insights. While both roles require knowledge of SQL and data management, their core responsibilities differ: one builds the infrastructure, the other analyzes the data for decision-making.

Is healthcare data warehousing a good career?

Healthcare data warehousing is a growing field that involves managing and analyzing large healthcare datasets using tools like SQL, ETL processes, and data modeling. It offers opportunities for specialization, good job stability, and competitive salaries, especially for those with technical skills and healthcare knowledge.

What other helpful pages are available for Healthcare Data Warehousing?

Other pages related to Healthcare Data Warehousing:

Infographic showing various Healthcare Data Warehousing job openings in the United States as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 84% Full Time, 11% Part Time, and 3% Contract. Highlights an 85% Physical, 3% Hybrid, and 12% Remote job distribution.

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 2 days ago. Applications are no longer accepted.

Job description

Data Warehouse Analyst (Healthcare Analytics) Location

Tallahassee, FL (Hybrid)

Employment Type

Full-Time / Contract (Contingent on Award)

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