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Health Data Analyst Jobs in Indiana (NOW HIRING)

The Data Analyst SME Contractor Support Lead will serve as the primary contractor technical authority for all data analysis activities, delivering actionable insights, developing analytical ...

Sr Business Data Analyst

Whiteland, IN · On-site

$70K - $115K/yr

The Sr Business Data Analyst role has a national salary range of $70,000 - $115,000. For roles within California the range is $70,304 - $115,000 and Washington is $80,169 - $115,000. DHL Supply Chain ...

The Sr Business Data Analyst role has a national salary range of $70,000 - $115,000. For roles within California the range is $70,304 - $115,000 and Washington is $80,169 - $115,000. DHL Supply Chain ...

Data Scientist Analyst Data Scientist Analyst Location: This role requires associates to be in ... Join us to shape the future of health cost forecasting. How you will make an impact: * Develop and ...

Data Scientist Analyst Data Scientist Analyst Location: This role requires associates to be in ... Join us to shape the future of health cost forecasting. How you will make an impact: * Develop and ...

Data Scientist Analyst Location: This role requires associates to be in-office 1 day per week ... Join us to shape the future of health cost forecasting. How you will make an impact: * Develop and ...

Showing results 41-60

Health Data Analyst information

See Indiana salary details

$10

$35

$59

How much do health data analyst jobs pay per hour?

As of Aug 7, 2026, the average hourly pay for health 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 health data analyst, and why are they important?

To thrive as a Health Data Analyst, you need strong analytical skills, knowledge of statistics, and a degree in health informatics, statistics, or a related field. Familiarity with data analysis tools like SQL, Python, R, and healthcare data systems such as EHRs or Epic is typically required. Attention to detail, problem-solving abilities, and effective communication skills are essential soft skills for translating complex data into actionable insights. These skills ensure accurate analysis, enable data-driven decision-making, and support improved patient outcomes in healthcare organizations.

What does a health data analyst do?

A health data analyst creates data reports that guide healthcare providers or organizations. The data comes from various systems or sources, like treatment or billing records. These statistical reports can be used to assess disease trends, over or underutilization of treatment, and cost of healthcare. Medical services and insurance providers can use this information to make decisions about future costs and coverage, while organizations such as the CDC (Centers for Disease Control and Prevention) use it to assess public health. Entry-level jobs as an analyst require a bachelor’s degree in healthcare administration, financing, or a related field.

What is a health data analyst?

Health Data Analysts are professionals who collect, process, and analyze health-related data to help organizations improve patient care, streamline operations, and meet regulatory requirements. They use statistical tools and data management techniques to interpret large sets of medical and healthcare data, identifying trends and insights. Health Data Analysts often work in hospitals, public health agencies, insurance companies, or research institutions. Their work helps healthcare providers make informed decisions, improve patient outcomes, and optimize costs.

What are some common challenges health data analysts face when working with healthcare data?

Health Data Analysts frequently encounter challenges such as dealing with incomplete or inconsistent data, ensuring patient privacy and data security, and integrating information from multiple electronic health record (EHR) systems. Navigating these hurdles requires strong data cleaning skills, a solid understanding of healthcare regulations like HIPAA, and effective communication with clinical staff to clarify data context. Overcoming these challenges is essential to producing accurate analyses that support healthcare decision-making and improve patient outcomes.

Is health data analysis a good career?

Health data analysis is a growing field that involves examining healthcare data to improve patient outcomes and operational efficiency. It requires skills in statistics, data management, and tools like SQL and Excel, with certifications such as Certified Health Data Analyst (CHDA) enhancing job prospects. The role offers opportunities in healthcare organizations, research institutions, and government agencies, often with a stable job outlook and competitive salary potential.
What are the most commonly searched types of Health Data Analyst jobs in Indiana? The most popular types of Health Data Analyst jobs in Indiana are:
What job categories do people searching Health Data Analyst jobs in Indiana look for? The top searched job categories for Health Data Analyst jobs in Indiana are:
What cities in Indiana are hiring for Health Data Analyst jobs? Cities in Indiana with the most Health Data Analyst job openings:
Infographic showing various Health Data Analyst job openings in Indiana as of August 2026, with employment types broken down into 67% Full Time, and 33% Contract. Highlights an 100% In-person job distribution, with an average salary of $73,881 per year, or $35.5 per hour.

Help Desk/Data Quality Analyst in Indianapolis, IN - Onsite

Techmorgonite Software Solutions LLC

Indianapolis, IN • On-site

$38/hr

Contractor

Re-posted yesterday


Job description

Role- Help Desk/Data Quality Analyst
Location- Indianapolis, IN - Onsite
Project Duration- 9+ Months
Mode of interview - Video
 
Job Description:
 
The Help Desk/Data Quality Analyst supports the accuracy, completeness, and timeliness of immunization information systems (IIS).
 
This role ensures that data submitted by healthcare providers is validated, standardized, and transformed into actionable insights. A strong foundation in T-SQL is essential for managing large data sets, troubleshooting data quality issues, and developing automated validation processes.
Key Responsibilities:
·         Perform data quality assessments on immunization records, including de-duplication, validation, and standardization.
·         Write and optimize T-SQL queries to analyze, clean, and transform large healthcare datasets.
·         Collaborate with providers, IIS staff, and public health partners to identify and resolve data submission errors.
·         Develop data quality dashboards, reports, and performance metrics to track provider compliance and system accuracy.
·         Support implementation of HL7 and IIS data exchange standards by validating message integrity and field mapping.
·         Investigate data anomalies, troubleshoot submission issues, and recommend process improvements.
·         Document data quality rules, methodologies, and best practices for internal and external stakeholders.
·         Preparing reports for leadership that effectively communicate trends, patterns, and predictions using relevant data.
·         Perform other duties as assigned.
  Required/Desired Skills   SkillRequired /DesiredAmountof ExperienceBachelor’s degree in Public Health, Data Science, Information Systems, or related field (or equivalent work experience)Required0 Strong proficiency in T-SQL (query writing, stored procedures, optimization, troubleshooting)Required5YearsExperience working with large relational databases (SQL Server preferred)Required5YearsStrong problem-solving skills with ability to analyze data issues and recommend corrective actionsRequired5YearsExcellent communication skills for working with technical and non-technical stakeholdersRequired5YearsFamiliarity with immunization registries (IIS), HL7 messaging, or healthcare data standardsHighly desired0 Experience with reporting tools (e.g., Power BI, Tableau) preferredHighly desired0 Knowledge of IIS data exchange standards (VXU, ACK, QBP)Highly desired0 Experience with data quality frameworks and record-matching techniquesHighly desired0 Exposure to public health data systems or clinical data exchangeHighly desired0