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Healthcare Data Analytics Jobs in Indiana (NOW HIRING)

Healthcare Data Engineer

Indianapolis, IN ยท On-site

$110 - $170/hr

We are building a modern Data & Analytics practice focused on developing proprietary data products, AI-enabled consulting services, and scalable analytics platforms that help healthcare organizations ...

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Mgr-Data Analytics

Indianapolis, IN ยท On-site

$116K/yr

Data Analytics Schedule: M-F |40 hours | Full-time Life at Ascension: Where purpose meets ... Recognized as one of the Best 150+ Places to Work in Healthcare and a Military-Friendly Gold ...

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Data Analytics Schedule: M-F |40 hours | Full-time How you'll make an impact in this role Manage ... Recognized as one of the Best 150+ Places to Work in Healthcare and a Military-Friendly Gold ...

Data Analytics Specialist

Crane, IN ยท 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:

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Showing results 1-20

Healthcare Data Analytics information

See Indiana salary details

$23

$52

$89

How much do healthcare data analytics jobs pay per hour?

As of Aug 19, 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 is a healthcare data analytics?

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.

What are the key skills and qualifications needed to thrive in healthcare data analytics?

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 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.

How do I become a healthcare data analyst?

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

Is healthcare data analytics a good career?

Healthcare data analytics is a growing field that involves analyzing health data to improve patient outcomes and operational efficiency. It typically requires skills in data management, statistical analysis, and familiarity with tools like SQL and Python, with certifications such as Certified Health Data Analyst (CHDA) enhancing job prospects. The role offers strong job growth, competitive salaries, and opportunities across healthcare providers, insurance companies, and technology firms.

What does a healthcare data analyst do in healthcare?

A healthcare data analyst collects, analyzes, and interprets healthcare data to improve patient outcomes, optimize operations, 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 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 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:

Infographic showing various Healthcare Data Analytics job openings in Indiana as of August 2026, with employment types broken down into 71% Full Time, 13% Part Time, and 16% Contract. Highlights an 94% In-person, and 6% Remote job distribution, with an average salary of $108,358 per year, or $52.1 per hour.

Healthcare Data Engineer

Blue & Co.

Indianapolis, IN โ€ข On-site

$110 - $170/hr

Other

Posted yesterday

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Job description

If you are unable to complete this application due to a disability, contact this employer to ask for an accommodation or an alternative application process.

Healthcare Data Engineer

Full-time Regular

12 days ago Requisition ID: 1508

Blue & Co., LLC is an independent advisory and accounting firm providing tax, audit, and consulting services with a focus on practical, client-centered solutions. We combine deep industry expertise with a collaborative culture to help clients navigate complex financial and operational challenges.

Help Build the Future of Data Consulting

Blue & Co. is making a significant investment in Data & Analytics as a strategic growth initiative for the firm. We are building a modern Data & Analytics practice focused on developing proprietary data products, AI-enabled consulting services, and scalable analytics platforms that help healthcare organizations make better business decisions.

We believe AI is fundamentally transforming how consulting is delivered. Successful candidates will be comfortable leveraging modern AI tools to accelerate analysis, improve code quality, automate repetitive work, and solve complex business problems while exercising sound professional judgment.

While this position will spend most of its time supporting our nationally recognized Healthcare Consulting practice, the solutions you build will help establish scalable capabilities that extend across the entire firm.

This is an opportunity to help shape a rapidly growing practice - not simply support one.

Preferred Locations: Louisville, Indianapolis. Candidates in other Blue & Co., LLC locations will also be considered.

Key Responsibilities
  • Partner with leadership to architect an enterprise healthcare data ecosystem and develop multi-year technical roadmaps aligned with business objectives.
  • Design reusable data platforms that support multiple healthcare clients rather than one-off solutions.
  • Build frameworks and accelerators that improve delivery speed across consulting engagements.
  • Design, build, and maintain scalable ETL/ELT pipelines to ingest and transform data from diverse internal and external healthcare sources.
  • Perform handsโ€‘on data extraction and scripting across hospital EHR systems (Epic, Meditech, CPSI, Cerner, etc.) and financial platforms.
  • Proactively identify opportunities to automate manual data movement and validation tasks to ensure high data integrity and reduced processing times.
  • Implement and monitor data governance and security protocols to ensure all data engineering practices remain PHI/HIPAA compliant.
  • Establish engineering best practices for the broader Data & Analytics team.
  • Partner with Data Analysts and healthcare consultants to bring new analytics products to market.
  • Evaluate emerging AI and data technologies and recommend where they can improve consulting delivery.
  • Provide the vision and handsโ€‘on coaching necessary to ensure data analysts are supported in their technical growth and project execution.
Technical Requirements
  • Experience designing and implementing cloudโ€‘based data platforms using Microsoft Fabric, Azure, Snowflake, or comparable modern analytics technologies.
  • Deep familiarity with 835/837 claims data, HL7/FHIR standards, and EHR/EMR database structures.
  • Experience handling both structured (relational) and unstructured (JSON, XML, flat file) healthcare data feeds.
  • Advanced SQL development and query optimization skills; proficiency in Python or PowerShell for data automation.
  • Strong understanding of dimensional modeling, Star Schema design, and data lakehouse architecture.
Preferred & Related Skills
  • Experience working in healthcare consulting, reimbursement advisory, or revenue cycle services.
  • Proven ability to navigate clinical, financial, and pharmacy data extracts from complex healthcare environments.
  • Experience creating scalable, reusable healthcare data products that can be deployed across multiple clients.
  • Ability to translate complex infrastructure and data architecture concepts for nonโ€‘technical consulting leads and client executives.
  • Demonstrated ability to effectively leverage AI tools (Copilot, ChatGPT, Claude, or similar) to accelerate engineering, automate repetitive tasks, optimize code quality, and solve complex technical problems.
Nice to Haves
  • Knowledge of Medicare cost reporting (HCRIS) data structures
  • Familiarity with Prompt Engineering to leverage LLMs for troubleshooting and pipeline optimization.
Education & Experience
  • Bachelorโ€™s degree in Computer Science, Data Engineering, Information Systems, or a related technical field.
  • 5+ years of experience in data engineering, backend architecture, or ETL development.

We are responsive. We are caring. We are advocates.

Blue & Co., LLC, is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, color, sex, sexual orientation, gender identity, disability, genetic information, national origin, race, religion, veteran status, or any other protected category.

Candidates must be authorized to work in the U.S. without current or future employer sponsorship.

Agency candidates will not be considered for this position.

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