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Data Informatics Analyst Jobs in Atlanta, GA (NOW HIRING)

Data Engineer II - OIT

Atlanta, GA ยท On-site

$111K - $133K/yr

Description The Data Engineer II is a key contributor to the development and evolution of the ... Understanding of biomedical informatics methodologies is a plus * Strong analytical, problem ...

Data Engineer II - OIT

Atlanta, GA ยท On-site

$111K - $133K/yr

Description The Data Engineer II is a key contributor to the development and evolution of the ... Understanding of biomedical informatics methodologies is a plus * Strong analytical, problem ...

The Data Engineer II is a key contributor to the development and evolution of the Unified Data ... Understanding of biomedical informatics methodologies is a plus * Strong analytical, problem ...

Senior Health Care Analyst (Audit & Data)

Atlanta, GA ยท Hybrid

$82K - $104K/yr

Master's degree in Health Information Administration, Health Informatics, Healthcare Management ... Experience in data mining, statistical analysis, or fraud detection methodologies. * Experience ...

Senior Research/Data Analyst

Atlanta, GA ยท On-site

$82K - $104K/yr

Senior Research/Data Analyst Location: Atlanta, GA PRIMARY DUTIES AND RESPONSIBILITIES Perform job responsibilities with minimal supervision Extract primary data from Oracle Database with the use of ...

Interpret data, analyze results using statistical techniques and provide ongoing reports * Provide timely and accurate data to fulfill internal and external data requests * Identify, compile, and ...

Company Description LabAnswer is the leading and largest laboratory informatics consultancy ... Define data migration requirements. Create and maintain SDLC & EPLC documentation. Contribute in ...

Mentors other analysts on regulation adherence. * Develops strategies for managing complex data sets through maintaining data standards and metadata. * Applies biomedical informatics technical ...

Mentors other analysts on regulation adherence. * Develops strategies for managing complex data sets through maintaining data standards and metadata. * Applies biomedical informatics technical ...

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Showing results 1-20

Data Informatics Analyst information

See Atlanta, GA salary details

$40.9K

$82.3K

$120.2K

How much do data informatics analyst jobs pay per year?

As of Jul 14, 2026, the average yearly pay for data informatics 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 is the difference between Data Informatics Analyst vs Data Analyst?

AspectData Informatics AnalystData Analyst
Required CredentialsBachelor's degree in informatics, computer science, or related field; knowledge of informatics toolsBachelor's degree in statistics, mathematics, or related field; proficiency in data analysis software
Work EnvironmentHealthcare, research, or technology settings focusing on data systems and informaticsBusiness, marketing, finance, or healthcare sectors analyzing data trends
Employer & Industry UsageHospitals, research institutions, health tech companiesCorporations, consulting firms, marketing agencies

While both roles involve analyzing data, Data Informatics Analysts focus on managing and interpreting data within informatics systems, often in healthcare or research settings. Data Analysts primarily analyze data to identify trends and support decision-making across various industries.

Is a data analyst a high salary?

Data analysts typically earn competitive salaries that vary by industry, experience, and location. Entry-level positions may have moderate pay, while experienced analysts with skills in SQL, Excel, and data visualization tools can command higher salaries. Overall, data analysis is considered a well-paying field with growth potential.

Will AI replace a data analyst?

AI tools can automate routine data processing and analysis tasks, but data analysts are essential for interpreting complex insights, making strategic decisions, and communicating findings. The role of a data analyst involves skills like critical thinking, domain knowledge, and data storytelling that AI cannot fully replicate. Therefore, while AI may change some aspects of the job, it is unlikely to completely replace data analysts in the near future.

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

To thrive as a Data Informatics Analyst, you need strong analytical skills, a solid understanding of statistics, and expertise in data management, typically supported by a degree in computer science, informatics, or a related field. Familiarity with data analysis tools like SQL, Python, R, and visualization platforms such as Tableau or Power BI is essential, and certifications in data analytics are often preferred. Exceptional problem-solving abilities, attention to detail, and effective communication help analysts translate complex data into actionable insights for stakeholders. These skills are crucial for ensuring data-driven decision-making and optimizing organizational performance.

What is a data informatics analyst?

A data informatics analyst is a professional who manages and analyzes large datasets to extract meaningful insights, often using tools like SQL, Python, or specialized informatics software. They work in healthcare, research, or technology environments to improve data quality, develop data models, and support decision-making processes.

How does a Data Informatics Analyst typically collaborate with other departments within an organization?

Data Informatics Analysts often work closely with teams across the organization, including IT, business operations, and clinical or research departments, depending on the industry. They gather requirements, translate business needs into data solutions, and present findings in accessible formats. Strong communication skills are essential, as analysts frequently facilitate meetings, explain technical concepts to non-technical stakeholders, and support cross-functional projects. This collaborative environment not only broadens your professional network but also provides valuable insight into how data-driven decisions impact various business areas.

Is 40 too late for data science?

A Data Informatics Analyst can enter data science at any age, as success depends on skills, experience, and continuous learning. Many professionals transition into data science later in their careers by acquiring relevant knowledge in programming, statistics, and tools like Python or R. Age is less a barrier than having the necessary technical skills and a strong understanding of data analysis concepts.
Data Applications Analyst

Data Applications Analyst

MedCura Health

Stone Mountain, GA โ€ข On-site

Full-time

Re-posted 24 days ago


Job description

Overview
The Data Applications Analyst contributes to organizational data activities by supporting analysis and application performance across MedCura Health's multi-site network. This hybrid role combines application knowledge with data-analysis 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 data-visualization 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 documentation-related technologies
  • Understanding of healthcare operations and workflows including clinical processes and financial reporting
  • Strong communication and analytical abilities

Responsibilities
Application & Data Integration
  • Manage and review telephony data from IVR/VoIP systems to assess patient-access and call-center activity.
  • Extract and interpret EHR metrics to assist with quality-related and compliance-related 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 revenue-cycle 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.
Cross-Functional Coordination
  • Work with internal teams across clinical, operational, IT, and finance areas to understand data needs and deliver appropriate solutions.
  • Participate in system-related initiatives involving upgrades, workflow adjustments, or technology adoption.
  • Provide instruction to end users on data tools and reporting platforms.