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Healthcare Data Analytics Jobs in Indiana (NOW HIRING)

Amentum

Data Analytics Specialist

Crane, IN · On-site

$100K - $160K/yr

We are seeking a highly skilled Data Analytics Specialist with 2-5 years of experience in data ... Our health and welfare benefits are designed to support you and your priorities. Offerings include:

Pae

Data Analytics Specialist

Crane, IN

$100K - $160K/yr

We are seeking a highly skilled Data Analytics Specialistwith 2-5 years of experiencein data ... Our health and welfare benefits are designed to support you and your priorities. Offerings include:

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$52

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How much do healthcare data analytics jobs pay per hour?

As of Jul 26, 2026, the average hourly pay for healthcare data analytics in Indiana is $52.10, according to ZipRecruiter salary data. Most workers in this role earn between $41.88 and $59.04 per hour, depending on experience, location, and employer.

What healthcare jobs pay over $100k per year?

Healthcare data analysts, health informatics managers, and healthcare executives often earn over $100,000 annually. These roles typically require strong analytical skills, proficiency with data tools, and relevant certifications or advanced degrees. Salaries vary based on experience, location, and organization size.

Will healthcare data analyst be replaced by AI?

Healthcare data analysts play a crucial role in interpreting complex health data, and while AI tools can automate routine tasks like data collection and basic analysis, they are unlikely to fully replace analysts. Human expertise is essential for contextual understanding, decision-making, and ensuring data accuracy in healthcare environments.

What does a data analyst do in healthcare?

A healthcare data analyst collects, processes, and interprets medical and operational data to improve patient outcomes, optimize workflows, and support decision-making. They use tools like Excel, SQL, and data visualization software to identify trends and generate reports for healthcare providers and administrators.

What are some typical challenges faced in a Healthcare Data Analytics role?

Healthcare Data Analytics professionals often encounter challenges such as dealing with incomplete or inconsistent data, ensuring compliance with strict data privacy regulations like HIPAA, and integrating data from multiple sources. Maintaining data integrity while extracting meaningful insights requires analytical rigor and a thorough understanding of both healthcare workflows and data management best practices. Additionally, translating complex findings into actionable recommendations for clinical or administrative teams can be demanding but is key to driving improvements. Effective communication and a proactive approach to problem-solving help address these challenges and ensure impactful results.

What are the key skills and qualifications needed to thrive in the Healthcare Data Analytics position, and why are they important?

To thrive in Healthcare Data Analytics, you need a strong background in statistics, data analysis, and healthcare systems, often supported by a degree in health informatics, data science, or a related field. Experience with tools like SQL, Python/R, Tableau, and electronic health record (EHR) systems, as well as certifications such as Certified Health Data Analyst (CHDA), is highly valuable. Problem-solving abilities, attention to detail, and effective communication skills help you interpret complex data and present insights to non-technical stakeholders. These competencies are crucial for successfully leveraging data to improve patient outcomes and drive operational efficiencies in healthcare organizations.

What is a Healthcare Data Analytics job?

A Healthcare Data Analytics job involves collecting, processing, and analyzing healthcare data to improve patient outcomes, operational efficiency, and decision-making. Professionals in this role use statistical models, machine learning, and data visualization tools to identify trends and insights. They work with electronic health records (EHRs), claims data, and other medical datasets to support healthcare providers, insurers, and policymakers. This role requires knowledge of data analysis techniques, healthcare regulations (such as HIPAA), and industry-specific software.

Is healthcare data analytics a good career?

Healthcare data analytics is a growing field that involves analyzing medical data to improve patient outcomes and operational efficiency. It typically requires skills in data management, statistical analysis, and familiarity with healthcare systems and tools like SQL, Python, or R. The profession offers strong job prospects, competitive salaries, and opportunities for specialization and advancement.
What are the most commonly searched types of Healthcare Data Analytics jobs in Indiana? The most popular types of Healthcare Data Analytics jobs in Indiana are:
What are popular job titles related to Healthcare Data Analytics jobs in Indiana? For Healthcare Data Analytics jobs in Indiana, the most frequently searched job titles are:
What job categories do people searching Healthcare Data Analytics jobs in Indiana look for? The top searched job categories for Healthcare Data Analytics jobs in Indiana are:
What cities in Indiana are hiring for Healthcare Data Analytics jobs? Cities in Indiana with the most Healthcare Data Analytics job openings:
Healthcare Data Analytics jobs near you
Infographic showing various Healthcare Data Analytics job openings in Indiana as of July 2026, with employment types broken down into 91% Full Time, 6% Part Time, and 3% Contract. Highlights an 83% Physical, 5% Hybrid, and 12% Remote job distribution, with an average salary of $108,358 per year, or $52.1 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.

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