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Senior Health Data Analyst Jobs in Indiana (NOW HIRING)

Danaher

Logistics Data Analyst

Indianapolis, IN · On-site

Working together, let's put our time and talents together to advance human health for tomorrow ... The Logistics Analyst will use analytical tools to extract, validate, and organize logistics data ...

Danaher

Logistics Data Analyst

Indianapolis, IN · On-site

Working together, let's put our time and talents together to advance human health for tomorrow ... The Logistics Analyst will use analytical tools to extract, validate, and organize logistics data ...

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All JobsHealth Data Analyst JobsSenior Health Data Analyst JobsSenior Health Data Analyst Jobs in Indiana

Senior Health Data Analyst information

See Indiana salary details

$52.3K

$94.4K

$128.9K

How much do senior health data analyst jobs pay per year?

As of Sep 3, 2026, the average yearly pay for senior health data analyst in Indiana is $94,424.00, according to ZipRecruiter salary data. Most workers in this role earn between $81,800.00 and $103,200.00 per year, depending on experience, location, and employer.

What does a senior health data analyst do?

A Senior Health Data Analyst analyzes complex health-related data to provide insights that support decision-making in healthcare organizations. They are responsible for collecting, cleaning, and interpreting large datasets, often using statistical software and data visualization tools. Their work helps improve patient outcomes, optimize operations, and ensure regulatory compliance. Additionally, they may lead projects, mentor junior analysts, and collaborate with medical professionals, IT teams, and administrators to address various healthcare challenges.

What are the key skills and qualifications needed to thrive as a senior health data analyst, and why are they important?

To thrive as a Senior Health Data Analyst, you need advanced analytical skills, a background in statistics or public health, and typically a bachelor's or master's degree in a related field. Proficiency in data analysis tools such as SQL, Python, R, and experience with electronic health record (EHR) systems are essential, along with certifications like Certified Health Data Analyst (CHDA) being advantageous. Strong problem-solving abilities, attention to detail, and excellent communication skills enable effective collaboration with cross-functional teams and clear presentation of findings. These competencies ensure accurate interpretation of complex health data, driving informed decisions that improve patient outcomes and organizational efficiency.

What are some common challenges faced by senior health data analysts when working with healthcare data?

Senior Health Data Analysts often encounter challenges such as integrating data from multiple, disparate healthcare systems, ensuring data privacy and compliance with regulations like HIPAA, and managing large volumes of complex, unstructured data. Additionally, they must translate technical findings into actionable insights for clinical and administrative stakeholders who may not have a data background. Collaborating effectively across interdisciplinary teams and keeping up with rapidly evolving healthcare technologies are also key aspects of the role.

What is the difference between Senior Health Data Analyst vs Health Data Analyst?

AspectSenior Health Data AnalystHealth Data Analyst
Required CredentialsBachelor's or Master's in Health Informatics, Data Science, or related field; experience often requiredBachelor's degree in related field; entry-level or less experience needed
Work EnvironmentHealthcare organizations, research institutions, or government agenciesHospitals, clinics, insurance companies, or health tech firms
Employer & Industry UsageUsed in organizations requiring advanced data analysis and leadershipUsed in roles focused on data collection and basic analysis

The main difference between a Senior Health Data Analyst and a Health Data Analyst lies in experience, responsibilities, and expertise. Senior roles typically require more advanced skills, leadership, and strategic input, whereas entry-level roles focus on data collection and basic analysis. Both roles are vital in healthcare data management but differ in scope and complexity.

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 are popular job titles related to Senior Health Data Analyst jobs in Indiana?

For Senior Health Data Analyst jobs in Indiana, the most frequently searched job titles are:

What job categories do people searching Senior Health Data Analyst jobs in Indiana look for?

The top searched job categories for Senior Health Data Analyst jobs in Indiana are:

What cities in Indiana are hiring for Senior Health Data Analyst jobs?

Cities in Indiana with the most Senior Health Data Analyst job openings:

Senior Health Data Analyst jobs near you
Infographic showing various Senior Health Data Analyst job openings in Indiana as of August 2026, with employment types broken down into 33% Full Time, and 67% Contract. Highlights an 100% In-person job distribution, with an average salary of $94,424 per year, or $45.4 per hour.

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

Techmorgonite Software Solutions LLC

Indianapolis, IN • On-site

$38/hr

Contractor

Re-posted 27 days ago

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