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Remote Health Data Analyst Jobs in Georgia (NOW HIRING)

Palantir Data Engineer

Atlanta, GA · On-site +1

$110K - $132K/yr

... health data modernization and advanced analytics initiatives. In this role, you will work closely ... Remote : If this position is listed as remote, there may still be occasions when you are required ...

Remote/Hybrid - USA Reports to: Manager, Contract and Data Management Department Name: Strategic Sourcing/Supply Chain Position Type : Full Time, Exempt Position Summary The Data Management Analyst ...

$164K/yr

Req ID: 375409 NTT DATA strives to hire exceptional, innovative and passionate individuals who want ... spending or health savings account, life and AD&D insurance, short and long term disability ...

Energy, Finance, Healthcare, Government, Retail, Fulfillment Logistics, Manufacturing and Telecom ... Defines the data analytics research plan, scope and resources required to meet the objectives of ...

Hybrid role* (Remote/ on-site) , any location United States Director - Data & Analytics At Tenthpin, we are hiring a Director - AI, Data, Analytics to help shape the next generation of our global AI ...

Job Title Senior Data Science Consultant, Insurance - Remote Requisition Number R7828 Senior Data ... Beyond delivering high-impact analytics, this person will help strengthen CSAA's internal ...

Showing results 21-40

Remote Health Data Analyst information

See Georgia salary details

$28.7K

$69.8K

$114.8K

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

As of Aug 9, 2026, the average yearly pay for remote health data analyst in Georgia is $69,780.00, according to ZipRecruiter salary data. Most workers in this role earn between $52,800.00 and $81,900.00 per year, depending on experience, location, and employer.

What does a remote health data analyst do?

The job duties of a remote health data analyst include performing analysis on datasets related to the healthcare industry. In this career, you may work from home to gather relevant data from different sources, such as medical records, operational logs, and billing databases. The responsibilities of a health data analyst include using data to define healthcare trends, seek out areas for cost reduction, and analyze the cost and effectiveness of treatments. As a telecommute worker, you send reports to healthcare management personnel electronically, and you may have to communicate with them to answer questions after report submission.

What is a remote health data analyst?

A Remote Health Data Analyst is a professional who works primarily from a remote location to collect, process, and analyze healthcare data. They use statistical tools and software to interpret data from medical records, insurance claims, patient surveys, and other health information sources. Their insights help healthcare organizations improve patient care, optimize operations, and ensure regulatory compliance. Remote Health Data Analysts often collaborate with medical staff, IT teams, and administrators using digital communication tools. This role requires strong analytical skills, attention to detail, and proficiency in data management systems.

How does a remote health data analyst typically collaborate with healthcare teams while working offsite?

Remote Health Data Analysts frequently collaborate with clinicians, IT professionals, and data scientists through digital communication tools such as video conferencing, secure messaging, and shared data platforms. Regular virtual meetings are common to discuss project progress, clarify data requirements, and ensure alignment on healthcare outcomes. While working remotely offers flexibility, it also requires proactive communication and strong organizational skills to manage multiple projects and maintain data security standards. Building trust and maintaining clear documentation are essential for effective remote teamwork in this role.

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

To thrive as a Remote Health Data Analyst, you need strong analytical skills, knowledge of healthcare data standards, and at least a bachelor's degree in health informatics, statistics, or a related field. Proficiency with data analysis tools such as SQL, Python, R, and experience with electronic health record (EHR) systems and data visualization platforms like Tableau or Power BI are typically required. Attention to detail, problem-solving abilities, and effective communication are vital soft skills for interpreting data and collaborating remotely with teams. These skills ensure accurate data insights, enable informed decision-making, and support the delivery of efficient healthcare services from a remote environment.
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 cities in Georgia are hiring for Remote Health Data Analyst jobs? Cities in Georgia with the most Remote Health Data Analyst job openings:
Infographic showing various Remote Health Data Analyst job openings in Georgia as of August 2026, with employment types broken down into 73% Full Time, 9% Part Time, and 18% Contract. Highlights an 100% Remote job distribution, with an average salary of $69,780 per year, or $33.5 per hour.

US Health Analytics Data Engineering Team Leader

Aon Corporation

Atlanta, GA • On-site, Remote

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 8 days ago


Aon rating

8.1

Company rating: 8.1 out of 10

Based on 77 frontline employees who took The Breakroom Quiz

59th of 150 rated financial services


Job description

US Health Analytics Data Engineering Team Leader

Aon is looking for a Health Analytics Data Engineering Leader to lead a distributed data engineering team supporting US Health Analytics solutions. This experienced team leader role is responsible for translating business needs into scalable, cloud-first data solutions and leading a distributed team to deliver high-quality solutions with speed, clarity and strong engineering discipline.

Location


Preferred location of this role is Denver, CO, Chicago, IL, or Atlanta, GA with flexibility for strong candidates and other Aon offices in the US. Hybrid office schedule is the norm with fully virtual a possibility for the right candidate.

Aon is in the business of better decisions

At Aon, we shape decisions for the better to protect and enrich the lives of people around the world.

As an organization, we are united through trust as one inclusive team and we are passionate about helping our colleagues and clients succeed.

What the day will look like

This leader owns the end-to-end medallion US Health Analytics data architecture and is accountable for scaled structured data flows and data partner integrations, enrichments and downstream processing across each stage. The team supports analytics-ready data capabilities consumed by consultants, actuaries, analytics applications and AI agents, ensuring each layer is well-governed, performant and fit for purpose. The leader is accountable for the quality, monitoring, validation, completeness, and reliability of data across the platform, and owns the design and operation of scaled, multi-way data pipelines with key partners — ingesting external and partner data into the platform and delivering trusted, enriched data back out to stakeholders following strict governance, privacy, HIPAA, SOC, contractual and cybersecurity standards.

This role serves as senior engineering leader and also leads though influence and collaboration as part of a globally distributed team. The leader will partner closely with Aon Business Services and Aon Data & Analytics engineering teams, architects and infrastructure teams ensuring Aon enterprise standards and best practices are adopted and followed for Health Analytics data.

Behavioral Expectations

Drive results: Creates clarity, establishes priorities and leads the team to deliver measurable outcomes with speed, accountability and quality.

Think strategically and practically: Understands business needs, designs for the future and makes pragmatic decisions that keep work moving forward.

Lead and develop colleagues: Builds an inclusive, high-performing team environment and develops technical talent across geographies and experience levels.

Collaborate as Aon United: Works effectively across actuarial, consulting, data science, technology, and business teams to deliver the best of Aon to clients.

Champion innovation and continuous improvement: Moves teams toward modern methods, automation, AI-enabled workflows and scalable ways of working.

Skills and experience that will lead to success

 

This role is expected to operate as a senior professional. Strong candidates will typically have:

  • Team management experience in a global enterprise environment. This role will manage data engineers and coordinate activity across a globally distributed team spanning several departments working closely with Aon Business Solutions and global Data & Analytics organization.
  • 10+ years of relevant experience in data engineering, software engineering, analytics engineering, or related technical leadership roles. Experience with Medallion architecture and operations in domain-relevant environment.
  • Deep experience designing and delivering cloud-first data engineering solutions using Apache Spark, Databricks, Python, Git, Azure DevOps, CLI tools and related platforms.
  • Strong general software engineering capability, including clean code, modular design, reusable interfaces, automated testing, CI/CD, DevOps practices and maintainable production systems.
  • Demonstrated expertise in data modeling, data architecture and scalable platform design, with the ability to make practical decisions that balance future-state architecture with timely delivery.
  • Experience with US commercial healthcare data, including plan designs, premiums & contributions, ASO fees, medical & pharmacy claims, eligibility, enrollment and related benefits data used by consultants and actuaries.
  • Knowledge of HIPAA, data privacy, data security, access controls, de-identification and related practices for sensitive health data.
  • Experience leading distributed teams, setting priorities, coaching technical colleagues and building a high-performing engineering culture.
  • Ability to translate business needs into technical roadmaps, execution plans and scalable data capabilities that improve speed, quality and operating leverage.
  • Experience with agentic AI, AI-enabled automation, or emerging engineering workflows that improve productivity, data quality, or analytics delivery.
  • Practical data governance experience such as privilege management and monitoring, cataloging, retention policies, and data sharing.
  • Capable of writing production software, but skilled at leveraging teams to deliver beyond individual effort.
  • Advanced Analytics, Structured Query Language (SQL), Data Analysis, Data Integration, Data Management, Data Mining, Data Modeling, Data Science, Data Visualization, Predictive Modeling, Project Management, Python Programming, and Statistical Analysis

Education:

  • Bachelor’s or master’s degree in computer science, data engineering, health informatics, information technology, actuarial science, mathematics, statistics or a related field, or equivalent professional experience.

For positions in San Francisco and Los Angeles, we will consider for employment qualified applicants with arrest and conviction record in accordance with local Fair Chance ordinances.

Aon is not accepting unsolicited resumes from search firms for this position. If you are a search firm, you will not be compensated in any way for your submission of a candidate, even if Aon hires that candidate.

Nothing in this job description restricts management's right to assign or reassign duties and responsibilities to this job at any time.

Pay Transparency Laws:

The salary range for this position (intended for U.S. applicants) is $175,000 to $220,000 annually. The actual salary will vary based on applicant’s education, experience, skills, and abilities, as well as internal equity and alignment with market data.  The salary may also be adjusted based on applicant’s geographic location.

This position is eligible to participate in one of Aon’s annual incentive plans to receive an annual discretionary bonus in addition to base salary.  The amount of any bonus varies and is subject to the terms and conditions of the applicable incentive plan.


A summary of all the benefits offered for this position:

Aon offers a comprehensive package of benefits for full-time and regular part-time colleagues, including, but not limited to: a 401(k) savings plan with employer contributions; an employee stock purchase plan; consideration for long-term incentive awards at Aon’s discretion; medical, dental and vision insurance, various types of leaves of absence, paid time off, including 12 paid holidays throughout the calendar year, 15 days of paid vacation per year, paid sick leave as provided under state and local paid sick leave laws, short-term disability and optional long-term disability, health savings account, health care and dependent care reimbursement accounts, employee and dependent life insurance and supplemental life and AD&D insurance; optional personal insurance policies, adoption assistance, tuition assistance, commuter benefits, and an employee assistance program that includes free counseling sessions.  Eligibility for benefits is governed by the applicable plan documents and policies.

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2582339Qualifications:UNAVAILABLEEducation:UNAVAILABLEEmployment Type: FULL_TIME

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About Aon

Sourced by ZipRecruiter

Aon plc (NYSE:AON) is a leading global professional services firm providing a broad range of risk, retirement and health solutions. Our 50,000 colleagues in 120 countries empower results for clients by using proprietary data and analytics to deliver insights that reduce volatility and improve performance.

Industry

Business management consulting

Company size

10,000+ Employees

Headquarters location

Chicago, IL, US

Year founded

1992