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Healthcare Data Analyst Jobs in Indiana (NOW HIRING)

Strategic, Hands-On Work - From data analysis and documentation to client workshops and solution ... Experience in healthcare, Medicaid/Medicare, government programs, or similarly regulated ...

Data analyst Location: WARSAW, IN Full time position with PHARMA industry TRAVEL: Global travel if ... This position is responsible for supporting Client's global healthcare compliance monitoring ...

Data analyst Location: WARSAW, IN Full time position with PHARMA industry TRAVEL: Global travel if ... This position is responsible for supporting Client's global healthcare compliance monitoring ...

Mission-Driven Work - Support the transformation of rural healthcare across Indiana through a ... Analyze, document, and validate program operational needs, reporting requirements, and data ...

Mission-Driven Work - Support the transformation of rural healthcare across Indiana through a ... Analyze, document, and validate program operational needs, reporting requirements, and data ...

Mission-Driven Work - Support the transformation of rural healthcare across Indiana through a ... Analyze, document, and validate program operational needs, reporting requirements, and data ...

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Healthcare Data Analyst information

See Indiana salary details

$10

$35

$59

How much do healthcare data analyst jobs pay per hour?

As of Jul 26, 2026, the average hourly pay for healthcare data analyst in Indiana is $35.52, according to ZipRecruiter salary data. Most workers in this role earn between $27.69 and $40.24 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Healthcare Data Analyst, and why are they important?

To thrive as a Healthcare Data Analyst, you need a strong background in statistics, data analysis, and healthcare systems, often supported by a degree in health informatics, statistics, or a related field. Familiarity with data analytics tools such as SQL, Excel, Tableau, and healthcare-specific software like Epic or Cerner is essential, and certifications like Certified Health Data Analyst (CHDA) can be advantageous. Strong attention to detail, critical thinking, and effective communication skills help translate complex data into actionable insights for healthcare teams. These skills are vital for improving patient outcomes, streamlining operations, and supporting data-driven decision-making in healthcare organizations.

What healthcare jobs pay over $100k per year?

Healthcare data analysts, especially those with advanced skills in data management, statistical analysis, and familiarity with tools like SQL and Python, can earn over $100,000 annually. Other high-paying healthcare roles include physicians, surgeons, healthcare executives, and specialized nurse practitioners, often requiring advanced degrees and certifications. Salary levels depend on experience, location, and specific responsibilities.

Is healthcare data analytics a good career?

Healthcare data analytics is a growing field that involves analyzing medical and patient data to improve healthcare outcomes and efficiency. It offers strong job prospects, competitive salaries, and opportunities for specialization with skills in data management, statistical tools, and healthcare systems.

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

AspectHealthcare Data AnalystHealthcare Data Scientist
Required CredentialsBachelor's in health informatics, data analysis, or related field; certifications like CPC or CAP often preferredAdvanced degrees (Master's or PhD) in data science, statistics, or related fields; certifications like Certified Analytics Professional (CAP) beneficial
Work EnvironmentHospitals, clinics, insurance companies, healthcare IT firmsResearch institutions, healthcare tech companies, pharmaceutical firms
Employer & Industry UsageCommonly employed in healthcare settings for data reporting and analysisUsed in advanced data modeling, predictive analytics, and research projects

Healthcare Data Analysts focus on interpreting healthcare data to improve patient outcomes and operational efficiency, often working with existing datasets. Healthcare Data Scientists perform more complex data modeling and predictive analytics, requiring advanced technical skills and higher education. Both roles are vital in healthcare but differ in scope and complexity.

What does a Healthcare Data Analyst do?

A Healthcare Data Analyst is responsible for collecting, processing, and analyzing healthcare data to help organizations make informed decisions. They work with electronic health records, billing data, and clinical information to identify trends, improve patient outcomes, and ensure operational efficiency. Their insights support healthcare providers, administrators, and policymakers in optimizing services and reducing costs. Analysts often use statistical tools and data visualization techniques to communicate findings to stakeholders.

How do I get into healthcare data analytics?

Healthcare Data Analysts typically need a bachelor's degree in health informatics, statistics, or a related field, along with skills in data analysis tools like SQL, Excel, and statistical software. Gaining experience through internships, certifications such as Certified Health Data Analyst (CHDA), and understanding healthcare systems can improve job prospects.

What does a data analyst in healthcare do?

A healthcare data analyst collects, analyzes, and interprets medical and operational data to improve patient outcomes, optimize healthcare processes, and support decision-making. They often use tools like Excel, SQL, and data visualization software, and require knowledge of healthcare regulations and data privacy standards.

What are some common challenges faced by Healthcare Data Analysts when working with clinical data?

Healthcare Data Analysts often encounter challenges such as dealing with incomplete or inconsistent patient records, integrating data from various electronic health record (EHR) systems, and ensuring patient privacy while analyzing sensitive information. Navigating complex regulatory requirements like HIPAA is also a key part of the role. Analysts must develop strong problem-solving skills and maintain close collaboration with clinical and IT teams to ensure data accuracy and meaningful insights.
More about Healthcare Data Analyst jobs
What are the most commonly searched types of Healthcare Data Analyst jobs in Indiana? The most popular types of Healthcare Data Analyst jobs in Indiana are:
What cities in Indiana are hiring for Healthcare Data Analyst jobs? Cities in Indiana with the most Healthcare Data Analyst job openings:
What are popular job titles related to Healthcare Data Analyst jobs in IN? For Healthcare Data Analyst jobs in IN, the most frequently searched job titles are:
Infographic showing various Healthcare Data Analyst job openings in Indiana as of July 2026, with employment types broken down into 57% Full Time, and 43% Contract. Highlights an 100% In-person job distribution, with an average salary of $73,881 per year, or $35.5 per hour.

Healthcare Data Analyst / Healthcare Data Scientist

Real Soft, Inc / Diversity Direct

Indianapolis, IN • On-site

Other

Posted 2 days ago


Job description

Job Description:
- Seeking a Healthcare Data Analyst with 1–3 years of experience in a HIPAA-covered healthcare or pharmacy environment.
- Bachelor''s degree in business, marketing, healthcare administration, data science, or a related discipline
- Analyze pharmacy dispensing, fulfillment, and operational data to support business performance and decision-making.
- Use SQL, Excel, and Python or R to extract, analyze, validate, and automate operational data and reporting.
- Build, maintain, and enhance operational dashboards, KPIs, and performance metrics.
- Ensure data quality, accuracy, and compliance across pharmacy dispensing data sources.
- Generate actionable insights to improve operational efficiency and support cross-functional teams.
- Work closely with Performance Operations analysts to develop reporting, automation, and data validation processes.
- Handle PHI in compliance with HIPAA and adhere to covered-entity data governance and privacy requirements.
- Candidates must be actively coding in SQL and Python/R.
- Ideal candidates have experience with healthcare, pharmacy, claims, or dispensing data, strong analytical skills, and excellent communication abilities.