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Insurance Data Analytics Jobs in Georgia (NOW HIRING)

Collaborate with the National Analytics Team to develop and support the national standard for ... Insurance/Employee Benefits or Finance/Accounting, preferred; * Experience in building ...

Data Analyst IV

Atlanta, GA · On-site

$50 - $60/hr

We deliver insights, strategies, data analytics, and technical expertise to accelerate data ... Employer Paid Life and Disability Insurance, STD and LTD * Employee Assistance Plan and Employee ...

New

Build and maintain strong relationships with customers, serving as a trusted data and analytics ... Health insurance * Performance bonus * Remote work policy * Flexible working hours * Equity Program

Develop models and help define a holistic analytics approach, especially as it relates to the ... Voluntary Insurance Programs - Pet, Legal/Identity Theft, Critical Illness * Perks & Discounts ...

Develop models and help define a holistic analytics approach, especially as it relates to the ... Voluntary Insurance Programs - Pet, Legal/Identity Theft, Critical Illness * Perks & Discounts ...

(Senior) Corporate Data Analyst

Atlanta, GA · On-site +1

$67.80K - $101.70K/yr

Preferred Experience with Databricks, Thoughtspot, , and other data lake / warehouse and analytics ... Fully Paid by Origami Risk - Vision insurance, Short & Long-Term Disability Insurance, and Basic ...

Furthermore, shape large Data and Analytics opportunities for TCS. Prior experience in Banking Financial and Insurance combined with strong articulation skills, strategic Thinking exposure ...

Data Engineer

Atlanta, GA · On-site

$100K - $130K/yr

Supports the standardization, customization, and ad-hoc data analysis, and will develop the ... Insurance Options: Auto & Home Insurance, Identity Theft Protection. Convenience & Professional ...

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Showing results 1-20

Insurance Data Analytics information

See Georgia salary details

$20

$46

$79

How much do insurance data analytics jobs pay per hour?

As of May 28, 2026, the average hourly pay for insurance data analytics in Georgia is $46.23, according to ZipRecruiter salary data. Most workers in this role earn between $37.16 and $52.36 per hour, depending on experience, location, and employer.

What is an Insurance Data Analytics job?

An Insurance Data Analytics job involves analyzing large volumes of insurance-related data to identify trends, assess risks, detect fraud, and improve decision-making. Professionals in this field use statistical models, machine learning, and data visualization tools to extract insights that help insurers optimize pricing, enhance customer experience, and reduce losses. They work with claims data, policyholder information, and external data sources to drive business strategy. Strong analytical skills, proficiency in data tools like SQL, Python, or R, and knowledge of insurance principles are essential for success in this role.

What are the key skills and qualifications needed to thrive in the Insurance Data Analytics position, and why are they important?

To thrive in Insurance Data Analytics, you need a solid understanding of data analysis, statistics, and insurance industry concepts, usually supported by a degree in mathematics, statistics, finance, or a related field. Proficiency with analytical tools like SQL, Python, R, and data visualization platforms (such as Tableau or Power BI), as well as certifications like CPCU or advanced analytics credentials, are highly valued. Strong problem-solving abilities, attention to detail, and effective communication skills help analysts translate complex data into actionable business insights. These skills are crucial for driving informed decision-making, risk assessment, and operational improvements within insurance organizations.

What are the typical responsibilities of someone working in Insurance Data Analytics?

Professionals in Insurance Data Analytics are responsible for collecting, cleaning, and analyzing large sets of insurance-related data to identify trends, assess risk, and inform business decisions. They commonly develop predictive models, generate reports, and provide actionable insights that help underwriting teams, actuarial staff, and business leaders optimize processes or pricing strategies. Day-to-day tasks may also include collaborating with IT and business units to define data requirements, presenting findings to non-technical stakeholders, and ensuring data integrity. This role often involves a mix of independent analysis and team-oriented projects, offering a dynamic and engaging work environment for problem solvers.
What are the most commonly searched types of Insurance Data Analytics jobs in Georgia? The most popular types of Insurance Data Analytics jobs in Georgia are:
What cities in Georgia are hiring for Insurance Data Analytics jobs? Cities in Georgia with the most Insurance Data Analytics job openings:
Infographic showing various Insurance Data Analytics job openings in Georgia as of May 2026, with employment types broken down into 83% Full Time, and 17% Part Time. Highlights an 84% In-person, 8% Hybrid, and 8% Remote job distribution, with an average salary of $96,153 per year, or $46.2 per hour.
Data Analyst

Data Analyst

OneDigital

Atlanta, GA • On-site

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 11 days ago


Job description

Employee Benefits is the core of our business and at our heart we are a people-focused organization. Every day, we help over 100,000 employers give their employees peace of mind by providing health, pharmacy, long and short-term disability, vision, dental and other insurance solutions. What makes us unique is that we can surround our clients with more services and more technology-based tools and a team of advisors that simply cares more than anyone else.


If you want a career giving people the reassurance that they can have access to the health care they need for themselves and their loved ones, join OneDigital.

Our Newest Opportunity:

Summary:

A OneDigital Data Analyst will apply advanced analytical techniques to develop tools that provide company-wide analytics insights, ultimately driving client retention and new sales for national responsibilities. The Data Analyst will work closely and collaboratively with the Strategic Analytics team and various colleagues throughout the field offices, as well as leadership teams, to support the National best-in-class analytics portfolio.

Essential Duties and Responsibilities:

  • Collaborate with the National Analytics Team to develop and support the national standard for analytics, such as benchmark data, demographic data, paid and incurred claims data, health and wellness metrics, cost forecasts, IBNR, network discount analysis, stop loss support, client stewardship/impact report, Monte Carlo analyses, etc.
  • Actively push forward the development of a cutting-edge benchmarking tool using big data from an ever-increasing number of offices throughout the country.
  • Tackle large, database-driven projects inspired by the National Analytics team.
  • Collaborate with peers to consult around and roll out for their region an efficient and scalable product that will equip new business producers and consultants with data analytics that enable them to develop multi-year strategic plans for their clients.
  • Leverage internal marketing team and other resources to determine current and projected value of analytics tools and products for clients.
  • Track results in current books of business to determine what is working well and how to leverage those results into marketing insights and client promotion.
  • Provide support to the National Analytics team in a wide variety of manners.

Qualifications, Skills and Requirements:

  • Strong attention to detail
  • Strong verbal and written communication skills
  • Ability to work independently as well as in a team environment
  • Strong organizational skills
  • Positive attitude
  • Ability to thrive in fast-paced environment
  • Strong analytical and problem-solving skills
  • Strong desire to challenge old ways of thinking and disrupt the status quo
  • Ability to travel within assigned region and to corporate office
  • Strong presentation skills
  • Ability to establish and maintain collaborative working relationships with others of all levels
  • Ability to work with clients and partners at a strategic level
  • Servant leadership mentality

Education, Training and Experience:

  • Bachelor's Degree in Data Science, Math, Finance, or related field, required;
  • 2+ Years of Experience in Insurance/Employee Benefits or Finance/Accounting, preferred;
  • Experience in building & maintaining enterprise-level analytics solutions, preferred;
  • Experience with Microsoft Suite (Excel, Powerpoint, Word, Outlook, etc.), required;
  • Healthcare underwriting, actuarial and/or similar analytical background, preferred;
  • Expert in excel modeling, required;
  • General programming experience, required;
  • VBA experience, preferred;
  • SQL experience, preferred.
  • Tableau experience, preferred
  • Python experience, preferred

Your base pay is dependent upon your skills, education, qualifications, professional experience, and location. In addition to base pay, some roles are eligible for variable compensation, commission, and/or annual bonus based on your individual performance and/or the company's performance. We also offer eligible employees health, wellbeing, retirement, and other financial benefits, paid time off, overtime pay for non-exempt employees, and robust learning and development programs. You will receive reimbursement of job-related expenses per the company policy and may receive employee perks and discounts.
To learn more, visit: www.onedigital.com/careers

OneDigital is an equal opportunity employer. Not only as a matter of standard, but to honor and celebrate our differences. We believe that the power of ONE starts with you. We are committed to cultivating and preserving a culture that celebrates diversity, insists on equity and inclusion, and connects us. Ensuring our people feel seen, valued, respected, and supported is fundamental to our core values and business goals.

OneDigital provides equal employment opportunities to all employees and applicants for employment regardless of their: veteran status, uniformed servicemember status, race, color, religion, sex, sexual orientation, gender identity, age (40 and over), pregnancy (including childbirth, lactation and related medical conditions), national origin or ancestry, citizenship or immigration status, physical or mental disability, genetic information (including testing and characteristics) or any other category protected by federal, state or local law (collectively, "protected characteristics"). A copy of the Federal EEO poster is linked here.

Pursuant to local Fair Chance Ordinances, we will consider qualified applications with arrest or conviction records for employment. For applicable candidates, the following ordinances are linked here to inform you of your rights as an applicant:

City and County of San Francsico

City of Los Angeles

County of Los Angeles

Employment decisions shall comply with all other applicable federal, state and city/county laws prohibiting discrimination in employment. OneDigital complies with all criminal history inquiry [or 'ban the box'] laws in California, Connecticut, Colorado, Hawaii, Illinois, Maine, Maryland, Massachusetts, Minnesota, New Jersey, New Mexico, Oregon, Rhode Island, Vermont and Washington.

In short, we believe in hiring the most qualified applicant for the position, regardless of background.

If you have questions about our hiring policies and practices, we would be happy to discuss upon receiving your application. We hope to welcome you to OneDigital and look forward to hearing from you.

OneDigital understands the immense responsibility and opportunities provided by Artificial Intelligence. We utilize advanced Artificial Intelligence [AI] technologies to enhance our recruitment process. This includes using AI to filter candidates based on their qualifications and to rediscover potential candidates from our existing applicant pool. Our AI systems help us efficiently identify the best fit for our open positions, ensuring a streamlined and effective hiring experience. However, AI does not replace the humans in our process. If you have concerns about our use of AI, you may opt out where laws allow.

Thank you for your interest in joining the OneDigital team!