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Full Time Health Informatics Data Analyst Jobs in Atlanta, GA

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Full Time Health Informatics Data Analyst information

See Atlanta, GA salary details

$40.9K

$82.3K

$120.2K

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

As of Jul 30, 2026, the average yearly pay for full time health informatics data analyst in Atlanta, GA is $82,327.00, according to ZipRecruiter salary data. Most workers in this role earn between $66,400.00 and $96,200.00 per year, depending on experience, location, and employer.

What field is the highest paid data analyst?

Data analysts working in finance, technology, and healthcare tend to have the highest salaries, especially those with expertise in health informatics, machine learning, and advanced analytics tools. Specializing in these high-demand sectors and obtaining relevant certifications can lead to higher compensation.

What are some typical challenges faced by a Full Time Health Informatics Data Analyst when working with healthcare data?

Full Time Health Informatics Data Analysts often encounter challenges such as ensuring data accuracy and consistency across multiple healthcare systems, managing sensitive patient information in compliance with privacy regulations (like HIPAA), and integrating data from disparate sources. They also need to bridge the gap between clinical staff and IT teams, translating complex analytical findings into actionable insights for non-technical stakeholders. Staying current with evolving health informatics standards and technologies is essential for success in this dynamic field.

Will AI take over healthcare informatics?

As a Full Time Health Informatics Data Analyst, AI is a tool that enhances data analysis, automation, and decision-making in healthcare. While AI automates routine tasks and supports complex data interpretation, human expertise remains essential for oversight, ethical considerations, and contextual understanding in healthcare informatics.

Can a data analyst work in health informatics?

A data analyst can work in health informatics by analyzing healthcare data, improving patient outcomes, and supporting clinical decision-making. Skills in data management, statistical tools, and familiarity with electronic health records (EHR) systems are essential for success in this field.

What are the key skills and qualifications needed to thrive as a Full Time Health Informatics Data Analyst, and why are they important?

To excel as a Full Time Health Informatics Data Analyst, you need a solid background in data analysis, statistics, and healthcare systems, typically supported by a degree in health informatics, biostatistics, or a related field. Familiarity with analytics tools such as SQL, Python, R, and electronic health record (EHR) systems, as well as certifications like Certified Health Data Analyst (CHDA), is highly valuable. Strong problem-solving abilities, attention to detail, and effective communication skills help you interpret complex data and relay insights to diverse stakeholders. These competencies are crucial for transforming healthcare data into actionable information that improves patient outcomes and organizational efficiency.

What is a Full Time Health Informatics Data Analyst?

A Full Time Health Informatics Data Analyst is a professional who collects, analyzes, and interprets health-related data to improve healthcare outcomes and operational efficiency. They work with electronic health records, databases, and health information systems to identify trends, support clinical decisions, and ensure data quality. These analysts often collaborate with healthcare providers, IT teams, and administrators to develop data-driven solutions and optimize patient care. Their role is vital for organizations seeking to leverage data for better healthcare delivery and compliance with industry regulations.

What is the difference between Full Time Health Informatics Data Analyst vs Health Data Coordinator?

AspectFull Time Health Informatics Data AnalystHealth Data Coordinator
CredentialsBachelor's in Health Informatics, Data Science, or related field; certifications like CHDABachelor's in Health Information Management or related field; certifications like RHIT
Work EnvironmentHealthcare facilities, clinics, or health IT companies; focus on data analysis and reportingHospitals, clinics, or health organizations; focus on data collection and management
Employer & Industry UsageUsed across healthcare providers, insurance companies, and health IT firmsCommon in hospitals and healthcare organizations managing patient data

The Full Time Health Informatics Data Analyst primarily analyzes healthcare data to improve patient outcomes and operational efficiency, while the Health Data Coordinator manages and ensures the accuracy of health records. Both roles require similar credentials but differ in daily responsibilities and focus areas within healthcare data management.

What are the most commonly searched types of Health Informatics Data Analyst jobs in Atlanta, GA? The most popular types of Health Informatics Data Analyst jobs in Atlanta, GA are:
What are popular job titles related to Full Time Health Informatics Data Analyst jobs in Atlanta, GA? For Full Time Health Informatics Data Analyst jobs in Atlanta, GA, the most frequently searched job titles are:
What job categories do people searching Full Time Health Informatics Data Analyst jobs in Atlanta, GA look for? The top searched job categories for Full Time Health Informatics Data Analyst jobs in Atlanta, GA are:
Infographic showing various Full Time Health Informatics Data Analyst job openings in Atlanta, GA as of July 2026, with employment types broken down into 87% Full Time, 7% Part Time, 1% Temporary, and 5% Contract. Highlights an 85% Physical, 6% Hybrid, and 9% Remote job distribution, with an average salary of $82,327 per year, or $39.6 per hour.

Data Applications Analyst

MedCura Health

Stone Mountain, GA • Hybrid

Full-time

Re-posted 11 days ago


Job description

Overview

The Data Applications Analyst contributes to organizational data activities by supporting analysis and application performance across MedCura Health's multisite network. This hybrid role combines application knowledge with dataanalysis responsibilities to assist with operational workflows related to clinical services, patient access, financial processes, and emerging technologies used within the organization.

Qualifications
  • Bachelor's degree in a related field such as Health Informatics, Data Science, Information Systems, or a similar discipline; a master's degree is preferred

  • At least three years of experience in healthcare data or applications analysis, including work in settings such as FQHCs or other healthcare environments

  • Proficiency with SQL, Excel, and datavisualization tools such as Power BI or Tableau

  • Experience with EHR platforms including systems such as athenaOne, NextGen, eClinicalWorks, or Epic, as well as telephony systems and documentationrelated technologies

  • Understanding of healthcare operations and workflows including clinical processes and financial reporting

  • Strong communication and analytical abilities

ResponsibilitiesApplication & Data Integration
  • Manage and review telephony data from IVR/VoIP systems to assess patientaccess and callcenter activity.

  • Extract and interpret EHR metrics to assist with qualityrelated and compliancerelated initiatives.

  • Support deployment of documentation tools and ensure alignment with established clinical workflows.

  • Review financial operations data related to billing, reimbursement, and budgeting in coordination with finance and revenuecycle teams.

Analytics and Reporting
  • Develop and maintain dashboards and reports using BI platforms such as Power BI or Tableau.

  • Conduct data validation and trend reviews across departments.

  • Summarize complex datasets into clear information for leadership and operational teams.

  • Maintain data integrity and regulatory alignment including HIPAA and related standards.

CrossFunctional Coordination
  • Work with internal teams across clinical, operational, IT, and finance areas to understand data needs and deliver appropriate solutions.

  • Participate in systemrelated initiatives involving upgrades, workflow adjustments, or technology adoption.

  • Provide instruction to end users on data tools and reporting platforms.

Employment Type: FULL_TIME