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Senior Health Data Analyst Jobs in Georgia (NOW HIRING)

Curant Health

Healthcare Data Analyst

Smyrna, GA · On-site

Position Summary The Data Analyst I - Curant Rare supports Curant Health's manufacturer-facing reporting and operational analytics for an assigned Rare program. This role is responsible for recurring ...

Curant Health

Healthcare Data Analyst

Smyrna, GA

Position Summary The Data Analyst I - Curant Rare supports Curant Health's manufacturer-facing reporting and operational analytics for an assigned Rare program. This role is responsible for recurring ...

Navtech, Inc.

Sr Data Analyst

Atlanta, GA · On-site +1

$82K - $104K/yr

Job Title : Sr Data Analyst Location: Atlanta, GA, Remote Duration : 6 to 12 Months Contract to Hire The client is not willing to sponsor; we need visa independent candidates who can work for any ...

Home Depot

Sr Data Analyst

Atlanta, GA · On-site

$81K - $103K/yr

The Senior Data Analyst will be responsible for ah-hoc data request support, and developing and maintaining analytics tools to support the Assurance and Advisory Management (AMP) team for project ...

Jobtailor

Senior Data Analyst

Atlanta, GA · On-site

$90 - $120/hr

Conduct ad hoc analyses and support enterprise-wide initiatives and special projects as requested by senior leadership * Partner with cross-functional teams to ensure data accuracy, consistency, and ...

4pconsultinginc

Senior Data Analyst

Atlanta, GA · On-site

$82K - $104K/yr

Senior Data Analyst Location: 270 Washington Street SE, Suite 5-181, Atlanta, GA 30334 (On Site) Duration: 12 Months Interview: In-Person / Face to Face JOB SUMMARY Under broad supervision, performs ...

Aflac Incorporated

Sr Data Analyst

Columbus, GA · On-site +1

$70K - $105K/yr

Opportunity: Sr Data Analyst Salary Range: $70,000 - $105,000 Division: Digital Services Recruiter ... health care flexible spending, dependent care flexible spending, Aflac supplemental policies ...

Aflac

Sr Data Analyst

Columbus, GA · On-site +1

$70K - $105K/yr

Opportunity: Sr Data Analyst Salary Range: $70,000 - $105,000 Division: Digital Services Recruiter ... health care flexible spending, dependent care flexible spending, Aflac supplemental policies ...

Booz Allen Hamilton

Health Data Scientist

Atlanta, GA · On-site

$87 - $198/hr

As a data health scientist, you know that organizing data can yield pivotal insights whenit ... You'll use your experience in analytical exploration and data examination while you manage the ...

Publicis Groupe Holdings B.V

Senior Data Analyst

Atlanta, GA · On-site

$82K - $104K/yr

Overview The Senior Data Analyst is responsible for turning CRM and marketing data into clear ... Health/Wellness/Comfort reimbursements to help you invest in your future and work/life balance ...

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Senior Health Data Analyst information

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$46.4K

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

As of Aug 30, 2026, the average yearly pay for senior health data analyst in Georgia is $83,789.00, according to ZipRecruiter salary data. Most workers in this role earn between $72,600.00 and $91,600.00 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 Georgia?

The most popular types of Health Data Analyst jobs in Georgia are:

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

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

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

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

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

Cities in Georgia 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 Georgia as of August 2026, with employment types broken down into 2% As Needed, 70% Full Time, 15% Part Time, 10% Contract, and 3% Nights. Highlights an 95% Physical, 1% Hybrid, and 4% Remote job distribution, with an average salary of $83,789 per year, or $40.3 per hour.

Public Health Data Analyst

Atlanta, GA • On-site

VAAS PROFESSIONALS, LLC
Finance and Insurance • 11 - 50 employees
Learn more about VAAS PROFESSIONALS, LLCexternal

Full-time

Posted 25 days ago

Job description

Position Description:

VAAS Professionals is looking for a Public Health Data Analyst to help turn complex immunization program data into actionable insights that strengthen vaccine delivery, program compliance, and public health outcomes nationwide. You will support the program group, providing expertise on study design, data interpretation, statistical analysis and dissemination of results, while upholding data quality assurance and management standards.

What you’ll do:

As a Public Health Data Analyst, you will be responsible for the following tasks:

  • Collect, clean, validate, and analyze large data sets from VFC providers and jurisdictions to support PEAR program monitoring and reporting. 
  • Track and assess vaccine distribution, usage, provider participation, data quality, and compliance-related indicators.
  • Develop clear dashboards, visualizations, performance metrics, and trend reports that communicate program status and emerging issues. 
  • Identify data gaps, reporting inconsistencies, operational risks, and opportunities to improve program efficiency and decision-making. 
  • Support routine and ad hoc analyses that help evaluate program performance and inform evidence-based improvements. 
  • Prepare concise written summaries, tables, charts, and narrative materials for program briefings, reports, and stakeholder updates. 
  • Collaborate with program staff, analysts, epidemiologists, and jurisdictional partners to interpret findings and support data-informed action. 
  • Maintain strong data documentation, quality assurance practices, and repeatable workflows for analysis and reporting.
  • Providing monthly and routine reports on the tasks progress, activities etc.
Qualifications/Requirements:
  • Bachelor’s degree required; master’s degree preferred in public health, epidemiology, biostatistics, data science, computer science, information systems, or a related field. 
  • At least 4 years of experience in public health data analysis, program evaluation, data management, surveillance, or related analytical work. 
  • Experience with immunization programs, vaccine distribution, provider reporting, compliance monitoring, or CDC-related public health programs is required.
  • Experience collecting, cleaning, validating, analyzing, and reporting on large data sets from multiple sources. 
  • Ability to create dashboards, visualizations, performance metrics, trend reports, and clear written summaries for technical and non-technical audiences. 
  • Working knowledge of statistical, data management, or visualization tools such as SAS, R, Python, SQL, Excel, Power BI, Tableau, STATA, SPSS, or similar platforms. 
  • Strong analytical, organizational, and problem-solving skills with excellent attention to detail and data quality. 
  • Ability to work collaboratively with public health teams, program staff, and external stakeholders while also managing independent assignments. 
    Note this is a hybrid position starting with 2 weeks in person training full-time, then reverts to a hybrid role.

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