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Health Informatics Data Analyst information

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$35.9K

$72.3K

$105.5K

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

As of May 28, 2026, the average yearly pay for health informatics data analyst in Georgia is $72,287.00, according to ZipRecruiter salary data. Most workers in this role earn between $58,300.00 and $84,400.00 per year, depending on experience, location, and employer.

What is a Health Informatics Data Analyst job?

A Health Informatics Data Analyst collects, analyzes, and interprets healthcare data to improve patient outcomes, operational efficiency, and decision-making. They work with electronic health records (EHRs), databases, and analytics tools to identify trends and support evidence-based practices. Their role bridges healthcare, IT, and data science, ensuring that data-driven insights enhance care quality and efficiency.

What are the key skills and qualifications needed to thrive in the Health Informatics Data Analyst position, and why are they important?

Health Informatics Data Analysts need strong analytical skills, a foundational understanding of healthcare systems, and a background in statistics or information management, often supported by a relevant degree. Proficiency with data analysis tools such as SQL, Python, R, as well as experience with EHR systems and certifications like CAHIMS are highly valued. Attention to detail, problem-solving abilities, and strong communication skills are essential soft skills for excelling in this role. These skills enable analysts to extract meaningful insights from complex healthcare data, ensuring quality improvements and informed decision-making within healthcare organizations.

What are typical daily responsibilities for a Health Informatics Data Analyst?

As a Health Informatics Data Analyst, your typical day involves gathering, cleaning, and analyzing health data from multiple sources, such as electronic health records and clinical systems. You'll frequently collaborate with healthcare professionals and IT teams to understand data requirements, identify trends, and present findings through reports and data visualizations. Tasks may also include developing and maintaining dashboards, supporting quality improvement initiatives, and ensuring data complies with privacy regulations. This role requires balancing technical tasks with regular communication across interdisciplinary teams.
More about Health Informatics Data Analyst jobs
What are the most commonly searched types of Health Informatics Data Analyst jobs in Georgia? The most popular types of Health Informatics Data Analyst jobs in Georgia are:
What are popular job titles related to Health Informatics Data Analyst jobs in Georgia? For Health Informatics Data Analyst jobs in Georgia, the most frequently searched job titles are:
What job categories do people searching Health Informatics Data Analyst jobs in Georgia look for? The top searched job categories for Health Informatics Data Analyst jobs in Georgia are:
What cities in Georgia are hiring for Health Informatics Data Analyst jobs? Cities in Georgia with the most Health Informatics Data Analyst job openings:
Health Informatics Data Analyst jobs near you
Infographic showing various Health Informatics Data Analyst job openings in Georgia as of May 2026, with employment types broken down into 74% Full Time, 13% Part Time, and 13% Contract. Highlights an 74% In-person, 13% Hybrid, and 13% Remote job distribution, with an average salary of $72,287 per year, or $34.8 per hour.
GA DPH - Informatics Data Analyst II

GA DPH - Informatics Data Analyst II

Software Technology Inc

Atlanta, GA • On-site

Other

This job post has expired today. Applications are no longer accepted.

Job description

Informatics Data Analyst

Location: Atlanta, Georgia

Duration: Long Term

Primary Duties & Responsibilities: You will be responsible for a wide range of tasks, including:

  • Build/deploy highly complex visualizations; you will be the go-to designer on projects from start to finish to create compelling visual dashboards using various BI tools.
  • Develop and execute training initiatives for end-users and provide knowledge transfer, training, and support to Interactors, Viewers, and users.
  • Performing and documenting data analysis, data validation, and data mapping/design.
  • Create and edit complex SQL queries (SQL Server, Postgres).
  • Work under tight deadlines in a highly dynamic environment, manage multiple tasks and projects, and effectively coordinate with Admin Team for Production Deployment.
  • Define features, phases, and solution requirements for data products.
  • Create solution prototypes including hands-on coding and configuration.
  • Assist in the development, testing, and implementation of technology solutions, and report on delivery commitments to ensure solutions are implemented as expected and to agreed timeframes.
  • Optimize joint development efforts through appropriate database use, project design, and business process flows.

Bachelor’s degree in a related field from an accredited college or university OR equivalent experience AND:

  • 3 years or equivalent experience as a Business Intelligence Developer
  • 3 years or equivalent experience with relational database systems
  • Demonstratable experience with programming languages (SQL, Python, R) and knowledge of ETL processes, end-to-end data warehousing principles, methodologies, and practices to include understanding the constraints and limitations
  • Ability to collaborate with business leaders and communicate findings at an executive level
  • Ability to perform data analysis and troubleshoot data integrity issues
  • Experience in research design, visualization techniques, and analysis approaches in which you manage and analyze both structured and unstructured data
  • Experience modeling high-dimensional data
  • Experience with tools and languages in the design and implementation of data pipelines that support the CI/CD process

Preferred Qualifications:

  • Experience with public health domain is a plus
  • Prior ArcGIS experience (must be demonstratable)
  • Prior Tableau experience (must be demonstratable)
  • Prior R Shiny experience (must be demonstratable)
  • Familiarity with Command Line Interface (CLI) tools and/or equivalent Cloud computing tool

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