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Senior Health Informatics Data Analyst Jobs in Georgia

ASRT

Data Science & Analytics Lead

Atlanta, GA · On-site

$130K - $170K/yr

Provide senior guidance on data science, analytics, machine learning, visualization, cloud, and CDC ... Master's degree in Health Informatics, Data Science, Epidemiology, Statistics, Economics, or ...

ASRT, Inc.

Data Science & Analytics Lead

Atlanta, GA

Provide senior guidance on data science, analytics, machine learning, visualization, cloud, and CDC ... Master's degree in Health Informatics, Data Science, Epidemiology, Statistics, Economics, or ...

ASRT Inc

Data Science & Analytics Lead

Atlanta, GA · On-site

Provide senior guidance on data science, analytics, machine learning, visualization, cloud, and CDC ... Master's degree in Health Informatics, Data Science, Epidemiology, Statistics, Economics, or ...

koch

Clinical Informatics Analyst

Atlanta, GA

Bachelor's or Master's Degree in Clinical Informatics, Health Informatics, Data Analytics, Healthcare Administration, Business Administration, OR equivalent work experience demonstrating proficiency ...

CBIZ

Senior Health Care Analyst (Audit & Data)

Atlanta, GA · 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 ...

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Senior Health Informatics Data Analyst information

What does a senior health informatics data analyst do?

A Senior Health Informatics Data Analyst is responsible for analyzing complex healthcare data to improve patient outcomes, optimize operations, and support decision-making within healthcare organizations. They work with electronic health records (EHR), clinical databases, and other health information systems to extract, clean, and interpret data. Their expertise helps identify trends, ensure data quality, and provide actionable insights for healthcare providers and administrators. In addition to technical skills, they often collaborate with clinicians and IT professionals to implement data-driven solutions. This role typically requires advanced knowledge of data analytics, healthcare systems, and regulatory compliance.

What are the key skills and qualifications needed to thrive as a senior health informatics data analyst?

A Senior Health Informatics Data Analyst typically needs expertise in data analytics, healthcare data standards, and a background in health informatics, often supported by a relevant degree or certification such as Certified Health Data Analyst (CHDA). Proficiency in tools like SQL, Python, R, and healthcare information systems (e.g., EHRs, HL7, FHIR) is crucial for effective data management and analysis. Strong problem-solving, communication, and project management skills enable effective collaboration with clinical and IT teams. These competencies are essential for translating complex health data into actionable insights that drive improved patient outcomes and organizational efficiency.

How does a senior health informatics data analyst typically collaborate with clinical and IT teams on healthcare projects?

A Senior Health Informatics Data Analyst frequently acts as a bridge between clinical staff and IT professionals. They translate clinical requirements into technical solutions by working closely with healthcare providers to understand their data needs and with IT teams to ensure proper data integration and system functionality. This role often involves leading cross-functional meetings, facilitating communication between departments, and ensuring that data-driven insights are actionable and align with organizational goals. Effective collaboration is essential to implement successful healthcare analytics projects and improve patient outcomes.

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

AspectSenior Health Informatics Data AnalystHealth Data Analyst
Required CredentialsBachelor's or Master's in Health Informatics, Data Science, or related field; experience preferredBachelor's degree in Health Information Management, Data Science, or related field
Work EnvironmentHealthcare organizations, hospitals, clinics, or health tech companiesHealthcare providers, research institutions, or health insurance companies
Employer & Industry UsageUsed in healthcare settings for advanced data analysis and informatics projectsUsed for routine data reporting, analysis, and supporting clinical decision-making

The main difference is that Senior Health Informatics Data Analysts typically have more experience, advanced skills in health informatics, and handle complex projects, whereas Health Data Analysts focus on routine data analysis and reporting. Both roles are vital in healthcare data management but differ in scope and responsibility.

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:

Senior Health Informatics Data Analyst jobs near you

Data Science & Analytics Lead

ASRT

Atlanta, GA • On-site

$130K - $170K/yr

Full-time

Posted 6 days ago

Job description

Job Type
Full-time
Description
JOB TITLE: Data Science & Analytics Lead
POSITION NUMBER: 260823-0085-DSAL
POSITION LOCATION: Atlanta, GA, USA
TRAVEL: As required to fulfill the responsibilities of the position
ASRT is seeking a Data Science & Analytics Lead to provide senior technical leadership for The Center for Disease Control and Prevention (CDC) healthcare-data modernization, advanced analytics, clinical-data interoperability, enterprise data architecture, and data-science strategy. This individual will advise CDC leadership and scientific teams on how to integrate large healthcare datasets, interoperability standards, common data models, cloud technologies, metadata, governance, and advanced analytics into scalable and secure public-health surveillance solutions. This position represents one of the most specialized roles in Task Area 2 and requires a combination of healthcare informatics, data science, interoperability, analytics, and enterprise technology experience
MAJOR DUTIES AND RESPONSIBILITIES
  • Lead assessment of CDC data, analytical, and information-system requirements.
  • Recommend modern analytical and computational architectures.
  • Provide senior guidance on data science, analytics, machine learning, visualization, cloud, and CDC-approved AI approaches.
  • Support integration and modernization of data systems and enterprise services.
  • Advise on scientific-data curation, metadata, provenance, lineage, governance, and stewardship.
  • Design strategies for management and analysis of large healthcare datasets.
  • Advise on cloud-based and distributed analytical environments.
  • Support development and implementation of enterprise data and metadata standards.
  • Provide technical leadership concerning clinical-data interoperability and common data models.
  • Guide development, validation, and management of electronic phenotypes and clinical case definitions.
  • Support the use of EHR, claims, clinical, pharmaceutical, and commercial healthcare datasets for public-health surveillance.
  • Collaborate with CDC technical governance, leadership, epidemiologists, statisticians, and scientific stakeholders.
  • Develop roadmaps for enterprise data, analytics, and knowledge-management systems.
  • Evaluate technical problems and recommend corrective actions.
  • Ensure technical solutions align with CDC enterprise platforms, governance, architecture, and security requirements.
  • Support migration from siloed analytical environments into enterprise capabilities where appropriate.

Requirements
MINIMUM QUALIFICATIONS
Education and Experience:
  • Master's degree in Health Informatics, Data Science, Epidemiology, Statistics, Economics, or related discipline, consistent with CDC's Task 14 requirement.

Preferred Education
  • PhD or doctoral work in Health Informatics, Data Science, Epidemiology, Statistics, or Economics.

Minimum Experience
  • 8 years of progressively responsible data science, Health Informatics, analytics, healthcare-data, or information-systems experience.
  • Significant experience using R, Python, and SQL.
  • Experience managing and analyzing large healthcare datasets.
  • Demonstrated knowledge of healthcare interoperability standards, including HL7 and FHIR.
  • Experience with healthcare common data models.
  • Experience with Power BI or comparable visualization platforms.
  • Experience with cloud-based analytics.
  • Experience translating technical/data-science requirements into recommendations for scientific or executive stakeholders.

Preferred Experience
  • OMOP/OHDSI expertise.
  • HealthVerity, Premier, Truveta, IQVIA, PCORnet, MarketScan, or comparable commercial/aggregated healthcare datasets.
  • CMS, HRSA, VA, DHA, or other Federal healthcare datasets.
  • Electronic phenotypes and clinical case definitions.
  • Distributed computing and large relational databases.
  • Microsoft Azure.
  • CDC EDAV/1CDP.
  • CDC Data Modernization Initiative experience.
  • Clinical quality measures and public-health surveillance using EHR/claims data.
  • Federal healthcare data modernization.

Required:
  • Candidates should possess at least five years of relevant data analysis experience, consistent with the approved GSA labor category, with senior level candidates expected to demonstrate substantially greater depth. Experience should include complex data analysis, data quality management, reporting, dashboards or visualization, development of data definitions and business rules, and communication of analytical results to stakeholders.
  • For this assignment, highly relevant experience includes Federal or state public health analytics, cardiovascular or chronic-disease data, GIS and small area analysis, market research or population segmentation data, statistical modeling, epidemiologic or surveillance data, scientific writing, and support to CDC or HHS programs.
  • The preferred candidate will demonstrate advanced capability with SAS, SUDAAN, R, Python, SQL, ArcGIS, Tableau, Power BI, and comparable analytical and visualization technologies.
  • Experience with CDC enterprise environments, including EDAV, CDC PLACES, BRFSS, CDC WONDER, REDCap, SharePoint, and Federal data-governance processes, is highly desirable.
  • Experience developing reproducible analytical workflows, data dictionaries, codebooks, annotated programs, quality control procedures, dashboards, accessible electronic products, scientific reports, and health communication materials is strongly preferred.

Desirable:
  • Previous experience working in a similar role

Required Skills & Tools
  • Health informatics and healthcare-data architecture.
  • Healthcare-data interoperability.
  • Common data models.
  • Clinical-data analytics.
  • EHR and claims data.
  • Large healthcare/public-health datasets.
  • Metadata, data lineage, provenance, stewardship, and governance.
  • Enterprise data architecture.
  • Cloud-based and distributed analytics.
  • Machine-learning and advanced-analytics methods.
  • Electronic phenotypes and clinical case definitions.
  • Technical roadmapping and solution assessment.
  • HL7 - demonstrated knowledge/experience required.
  • FHIR - demonstrated knowledge/experience required.
  • OMOP or comparable healthcare common data model experience.
  • Python - advanced proficiency.
  • R - advanced proficiency.
  • SQL - advanced proficiency.
  • Microsoft Power BI or comparable enterprise visualization platform.
  • Azure or comparable Federal/cloud analytics platform highly desirable.
  • Familiarity with distributed-computing technologies and large relational databases.
  • Familiarity with metadata/catalog/governance tools.
  • Familiarity with EDAV and 1CDP highly desirable.
  • Familiarity with Git/Azure DevOps, CI/CD, or comparable development-governance environments desirable.
  • Knowledge of NIST/FISMA/FedRAMP requirements in Federal data environments desirable.

Language Skills:
  • The candidate must possess excellent oral and written communication skills in English.

REQUIREMENT: Must be a United States citizen or permanent resident or have authorization for employment in the United States.
SALARY: Commensurate with qualifications and experience.
To apply for this position:
  • If you are viewing this position on the ASRT Career page, please click on the "Apply" button.
  • If you are viewing this position on a site other than the ASRT Career page, you may use the "click to apply" link, or you may apply by visiting our Career page and searching for the job title and position number listed at the top of this job posting.
  • To view all of our open positions and to apply to job openings in which you may be interested, please visit our Career page at https://www.asrtinc.com/careers.

EEO/Vets/Disabled
Salary Description
$130,000-$170,000
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About ASRT

Sourced by ZipRecruiter

Industry

Business management consulting

Company size

51 - 200 Employees

Headquarters location

Smyrna, GA, US

Year founded

2017

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