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Medical Data Analytics Jobs in Atlanta, GA (NOW HIRING)

The Associate Director of Data Analytics provides technical and people leadership to design, build ... innovative medical treatments to help improve patient outcomes and population health worldwide.

New

... data ecosystems, with a track record of designing comprehensive analytics, measurement, and ... In addition to our outstanding basics, we offer a net-zero cost medical option, company ...

This role creates analytics tools and products that help business users identify trends, evaluate ... Customizable benefits package (3 medical plans with Health Saving Account company match) * We offer ...

This role creates analytics tools and products that help business users identify trends, evaluate ... Customizable benefits package (3 medical plans with Health Saving Account company match) * We offer ...

Data Analyst

Woodstock, GA · On-site

$65 - $95/hr

Bachelor's degree in Data Analytics, Information Systems, Finance, Accounting, or a related field ... Medical Plan * Vision Plan * Health Savings Account Option * Short Term Disability * Dedicated ...

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Medical Data Analytics information

See Atlanta, GA salary details

$15

$35

$52

How much do medical data analytics jobs pay per hour?

As of Aug 27, 2026, the average hourly pay for medical data analytics in Atlanta, GA is $35.90, according to ZipRecruiter salary data. Most workers in this role earn between $23.37 and $36.97 per hour, depending on experience, location, and employer.

What is medical data analytics?

Medical data analytics is the process of collecting, analyzing, and interpreting large amounts of health-related data to improve patient outcomes, optimize hospital operations, and support medical research. It involves using statistical methods, machine learning, and specialized software to extract actionable insights from electronic health records, clinical trials, and other healthcare data sources. Professionals in this field help healthcare organizations make data-driven decisions to enhance care quality, reduce costs, and increase efficiency.

What are the key skills and qualifications needed to thrive as a medical data analyst?

To thrive as a Medical Data Analyst, you need a strong background in statistics, data analysis, and healthcare knowledge, often supported by a degree in biostatistics, health informatics, or a related field. Proficiency with data analysis tools like SQL, Python, R, and experience with electronic health record (EHR) systems or data visualization platforms such as Tableau are typically required. Excellent problem-solving, attention to detail, and effective communication skills help you interpret complex data and convey findings to healthcare teams. These skills are vital for transforming raw medical data into actionable insights that drive better patient outcomes and operational decisions.

How does a medical data analyst typically collaborate with clinical and IT teams in a healthcare setting?

Medical Data Analysts frequently work as a bridge between clinical staff and IT professionals, translating clinical needs into data-driven solutions. They often participate in interdisciplinary meetings to identify data requirements, troubleshoot data quality issues, and develop dashboards or reports that inform patient care or operational decisions. Collaboration may involve explaining complex data trends to non-technical staff, ensuring privacy standards are maintained, and supporting the successful integration of analytics into electronic health records. This teamwork is critical for leveraging data to improve patient outcomes and organizational efficiency.

What is the difference between Medical Data Analytics vs Medical Data Analysis?

AspectMedical Data AnalyticsMedical Data Analysis
Required CredentialsOften requires degrees in data science, health informatics, or related fields; certifications in data analysis or healthcare analyticsTypically requires degrees in health sciences, statistics, or related fields; some certifications in data analysis
Work EnvironmentHealthcare organizations, research institutions, analytics firmsHospitals, clinics, research labs, healthcare providers
Employer & Industry UsageUsed for developing predictive models, improving patient outcomes, and operational efficiencyFocused on interpreting healthcare data, generating reports, and supporting clinical decisions

Medical Data Analytics involves advanced data modeling, predictive analytics, and often requires specialized certifications. Medical Data Analysis primarily focuses on interpreting healthcare data and generating reports. Both roles are essential in healthcare but differ in scope and technical complexity.

Is healthcare data analytics a good career?

Healthcare data analytics is a growing field that involves analyzing medical and patient data to improve healthcare outcomes and efficiency. It requires skills in statistics, programming, and knowledge of healthcare systems, with opportunities in hospitals, insurance companies, and research organizations. The demand for professionals in this area is increasing as healthcare organizations adopt data-driven decision-making.

What does a medical data analyst do?

A medical data analyst collects, processes, and interprets healthcare data to identify trends, improve patient outcomes, and support clinical decision-making. They use statistical tools and software like SQL, Excel, or specialized analytics platforms, often working with electronic health records and ensuring data accuracy and security.

What job categories do people searching Medical Data Analytics jobs in Atlanta, GA look for?

The top searched job categories for Medical Data Analytics jobs in Atlanta, GA are:

Infographic showing various Medical Data Analytics job openings in Atlanta, GA as of August 2026, with employment types broken down into 1% As Needed, 77% Full Time, 15% Part Time, and 7% Contract. Highlights an 90% Physical, 1% Hybrid, and 9% Remote job distribution, with an average salary of $74,677 per year, or $35.9 per hour.

Associate Director, Data Analytics

Atlanta, GA • Remote


IQVIA
Health Care and Social Assistance • 10K+ employees

8.1

Company rating: 8.1 out of 10

Based on 53 frontline employees who took The Breakroom Quiz

62nd of 225 rated it services

People enjoy working here

Good employer

Paid breaks


Full-time

Posted 2 days ago

New


Job description

The Associate Director of Data Analytics provides technical and people leadership to design, build, and scale data and analytics solutions that support regulatory compliance, operational performance, and strategic decision-making across healthcare and life sciences. This role owns end-to-end delivery across multiple workstreams, establishes repeatable engineering and governance standards, and partners with Product, Engineering, Sales, and client stakeholders to grow and modernize analytics capabilities.


This leader is expected to operate effectively in a matrix environment, balance competing priorities, and communicate clearly and diplomatically with senior internal and client leaders while driving measurable outcomes.

Key Responsibilities
People Leadership & Operating Model
Lead, hire, coach, and retain a high-performing team; set goals, provide feedback, and drive career development.
Establish operating rhythms and delivery governance (planning, prioritization, design reviews, release readiness, incident/defect triage) to ensure predictable execution and quality.
Drive a culture of accountability, documentation, and continuous improvement across teams and partners.
Data & Analytics Products (Build + Scale)
Own the end-to-end lifecycle of data and analytics products-from discovery through build, release, adoption, and operations-delivering reusable capabilities with measurable business impact.
Build product-grade data foundations (canonical models, curated datasets, semantic layers, governed metrics) and reference data (e.g., MDM/hierarchies) to ensure consistency and reuse.
Operationalize cloud data products (Azure/AWS) using strong engineering practices: Git, CI/CD, automated testing, documentation, and runbooks.
Deliver scalable pipelines, automations, and accelerators for compliance/regulatory reporting and operations at scale using Python, SQL and orchestration (Airflow/ADF or equivalent).
Provide governed analytics experiences (dashboards, self-service datasets, alerting) for compliance KPIs, variance analysis, and executive decisioning.
Embed healthcare-grade data trust: definitions/lineage, access controls, privacy-by-design (PHI/PII where applicable), and data quality monitoring with root-cause remediation.
Incorporate agent-enabled capabilities where they improve usability and speed-to-insight (e.g., agent-assisted Q&A, summaries/insights, guided workflows) using enterprise-supported approaches and enablement resources.
Program Delivery & Client Outcomes
Own scope, milestones, acceptance criteria, dependencies, and risk/issue management across multi-workstream initiatives to ensure on-time/on-budget outcomes.
Translate regulatory and business changes into actionable delivery plans; communicate tradeoffs, decisions needed, and mitigation plans to senior stakeholders.
Define measurable success criteria and track outcomes (e.g., reduced manual effort, improved audit readiness, increased adoption of governed data products).
Business Development & Practice Growth
Own or co-lead RFPs: solution strategy, win themes, response authoring, compliance matrices, and executive summaries; partner with BD/Sales to shape proposals.
Lead client demos/pilots/orals; contribute reusable assets and accelerators that increase speed-to-value and differentiation.
Build and maintain senior client relationships; identify expansion opportunities and translate them into scalable offerings and roadmap items.
Strategic & Innovation Leadership
Maintain the analytics/platform roadmap and architecture guardrails to drive modernization, interoperability, security, and scalability.
Evaluate and adopt emerging technologies (including AI/ML and agentic patterns) where they measurably improve delivery efficiency, insight generation, or customer outcomes.
Qualifications (Required)
Bachelor's degree in a relevant field or equivalent experience.
Proven people leadership and delivery ownership in a matrix environment.
Strong SQL + Python (or equivalent) delivering production-grade pipelines and automation.
Experience with cloud data architectures and modern platforms (Azure/AWS; Snowflake/Databricks or equivalent).
Strong stakeholder communication/presentation; calm, assertive, and diplomatic.
Business acumen: planning, prioritization, and financial awareness.

Qualifications (Preferred)
Experience leading data governance / metadata / lineage / stewardship operating models.
Healthcare/life sciences exposure where compliance/auditability are critical.
Experience delivering governed semantic models and self-service analytics.
RFP/orals and client solutioning leadership.

This is a remote/WFH opportunity available to candidates currently residing within the United States.

IQVIA is a leading global provider of clinical research services, commercial insights and healthcare intelligence to the life sciences and healthcare industries. We create intelligent connections to accelerate the development and commercialization of innovative medical treatments to help improve patient outcomes and population health worldwide. Learn more athttps://jobs.iqvia.com

IQVIA is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other status protected by applicable law. https://jobs.iqvia.com/eoe

IQVIA is committed to integrity in our hiring process and maintains a zero tolerance policy for candidate fraud. All information and credentials submitted in your application must be truthful and complete. Any false statements, misrepresentations, or material omissions during the recruitment process will result in immediate disqualification of your application, or termination of employment if discovered later, in accordance with applicable law. We appreciate your honesty and professionalism.

The potential base pay range for this role, when annualized, is $84,400.00 - $235,300.00. The actual base pay offered may vary based on a number of factors including job-related qualifications such as knowledge, skills, education, and experience; location; and/or schedule (full or part-time). Dependent on the position offered, incentive plans, bonuses, and/or other forms of compensation may be offered, in addition to a range of health and welfare and/or other benefits.

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About IQVIA

Sourced by ZipRecruiter

At IQVIA, we are passionate about helping customers and partners improve results and patient outcomes. Everything we do contributes to this vision for creating a healthier world. In today’s healthcare environment, it’s not only about how much data, information, and technology you have at your fingertips – it’s what you do with it. IQVIA is focused on making intelligent connections for customers across the entire healthcare ecosystem to help you drive healthcare forward. Whether that means partnering with novel technology companies to boost patient engagement, leveraging AI & machine learning to accelerate results, or using decentralized trials to reach the right patients wherever they are – we are always looking for smarter ways to move you forward.

Industry

Health care and social assistance

Company size

10,000+ Employees

Headquarters location

Durham, NC, US


What IQVIA employees say

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Hours and flexibility

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