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Insurance Data Analytics Jobs in Georgia (NOW HIRING)

Data Analyst 3

Duluth, GA · Hybrid

$85K - $100K/yr

The role owns SVM's analytics ecosystem end-to-end, including tools, enhancements, datasets ... Day one health, dental, and vision insurance * 401(k) Plan with competitive employer match

Data Analyst 3

Duluth, GA · On-site

$85K - $100K/yr

The role owns SVM's analytics ecosystem end-to-end, including tools, enhancements, datasets ... Day one health, dental, and vision insurance * 401(k) Plan with competitive employer match

Options include 401k with up to 4% match, medical, dental, vision, life insurance, short and ... REQUIRED SKILLS: * 3-5 years of experience in data analytics, statistics, business intelligence and ...

Bachelor's degree in Data Analytics, Computer Science, Information Systems, Statistics, Business ... Medical and Dental Insurance * Additional Life and AD&D Insurance * Supplemental Short-Term ...

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 ...

The Advanced Data Analytics Analyst supports enterprise data and analytics initiatives by gathering ... Basic term and optional term life insurance * Short-term and long-term disability * Pregnancy ...

(Senior) Corporate Data Analyst

Atlanta, GA · On-site +1

$67K - $101K/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 ...

... vision insurance, 401K with company matching, flexible spending accounts, paid holidays, three ... Perform longitudinal data analysis, including Program Information Report (PIR) analysis, and ...

... vision insurance, 401K with company matching, flexible spending accounts, paid holidays, three ... Perform longitudinal data analysis, including Program Information Report (PIR) analysis, and ...

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Insurance Data Analytics information

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$20

$46

$79

How much do insurance data analytics jobs pay per hour?

As of Jul 10, 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 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.

How is data analytics used in insurance?

In insurance, data analytics is used by professionals to assess risk, set premiums, detect fraud, and improve customer segmentation. Analysts utilize tools like statistical models and machine learning algorithms to interpret large datasets, enabling more accurate underwriting and claims management. Strong analytical skills and knowledge of data visualization are essential for effective decision-making in this field.

What does a data analyst do in insurance?

An insurance data analyst collects, processes, and analyzes insurance data to identify trends, assess risks, and support decision-making. They use tools like Excel, SQL, and data visualization software to create reports and models that improve underwriting, claims management, and pricing strategies.

How much does an insurance analyst make?

The average salary for an insurance analyst is around $65,000 to $85,000 per year, depending on experience, location, and industry. Entry-level roles typically start lower, while experienced analysts with specialized skills or certifications can earn higher salaries. Strong analytical skills and proficiency with data tools like Excel or SQL are often required.

Will AI replace a data analyst?

AI can automate routine data processing and analysis tasks, but the role of a data analyst, including those in insurance data analytics, involves interpreting complex data, providing insights, and making strategic decisions that require human judgment. Therefore, AI is more likely to augment rather than fully replace data analysts, who also need skills in data visualization, domain knowledge, and communication. Continuous learning and proficiency with analytics tools remain important for the role.

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 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 July 2026, with employment types broken down into 1% Internship, 89% Full Time, 6% Part Time, 1% Temporary, and 3% Contract. Highlights an 79% Physical, 5% Hybrid, and 16% Remote job distribution, with an average salary of $96,153 per year, or $46.2 per hour.
Data Analyst 3

Data Analyst 3

Primerica

Duluth, GA • Hybrid

$85K - $100K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 4 days ago


Primerica rating

9.7

Company rating: 9.7 out of 10

Based on 7 frontline employees who took The Breakroom Quiz


Job description

Join Our Team

In 2025, USA Today recognized Primerica as a Top Workplace USA for the fifth year in a row, and Newsweek named Primerica one of America's Greatest Workplaces for Diversity for the second consecutive year. In 2024, the Atlanta Journal-Constitution named Primerica as a Top Workplace for the eleventh consecutive year, and Forbes recognized Primerica as one of America's Best Employers for Women for the fifth year in a row. In addition, for the tenth time Primerica has been voted a Best Employer by Gwinnett Magazine. Primerica is a great place to work! Join our team to experience what it's like to work at "one of the best places to work in the metro Atlanta".

About this PositionThis role sits within Strategic Vendor Management (SVM) at Primerica. The SVM organization provides enterprise-wide leadership across the supplier lifecycle, including sourcing, contracting, performance management, risk oversight, value realization, and offboarding.
SVM partners closely with Finance, Legal, Risk, Technology, and the Enterprise Transformation Office (ETO) to ensure third-party relationships support enterprise priorities, enable transformation initiatives, and deliver measurable value with appropriate governance.
Role Purpose
The Strategic Vendor Management Data & Analytics Lead is the central authority for SVM data, analytics, reporting, and enablement tools. This role supports SVM leadership, the Strategic Vendor Management Operations Lead, Sourcing Category Leaders, Procurement, and ETO by ensuring data used for decision-making is accurate, timely, trusted, and actionable.
The role owns SVM's analytics ecosystem end-to-end, including tools, enhancements, datasets, dashboards, automation, and documentation. While this role does not own sourcing strategy or transformation delivery, it ensures SVM insights and metrics are tightly aligned to enterprise priorities and transformation roadmaps.
This role is hybrid in Duluth, Georgia.
This role is not eligible for sponsorship.
The salary range for this role is $85,000 - $100,000.Responsibilities & Qualifications
Key Responsibilities
  • Own SVM data, analytics, dashboards, and reporting to ensure accuracy, consistency, and decision readiness
  • Deliver executive-ready insights supporting vendor performance, risk, compliance, and value tracking
  • Partner with SVM leadership, Procurement, and ETO to enable data-driven decision-making
  • Build and optimize scalable dashboards and standardized reporting solutions
  • Drive automation and efficiency using Power BI, Excel, Smartsheet, and O365 tools
  • Maintain data governance, KPI definitions, and audit/compliance readiness

Required Qualifications
  • Bachelor's degree in a related field
  • 5+ years of experience in data analytics, reporting, or business intelligence
  • Advanced Excel and Power BI skills (data modeling, automation)
  • Experience with O365 and Smartsheet
  • Strong data storytelling and executive communication skills
  • Experience supporting procurement, vendor management, or transformation programs preferred

Preferred Qualifications
  • Master's degree (MBA or Analytics-related)
  • Experience building enterprise analytics solutions or data ecosystems
  • Exposure to procurement, vendor management, or finance analytics
  • Experience with automation, AI/ML, or predictive analytics
  • Background in regulated environments; relevant certifications (e.g., Power BI, CAP) preferred

FLSA status:
This position is exempt (not eligible for overtime pay):

YesOur Benefits:
  • Day one health, dental, and vision insurance

  • 401(k) Plan with competitive employer match

  • Vacation, sick, holiday and volunteer time off

  • Life and disability insurance

  • Flexible Spending Account & Health Savings Account

  • Professional development

  • Tuition reimbursement

  • Company-sponsored social and philanthropy events

It has been and will continue to be the policy of Primerica, Inc., and its subsidiaries to be an Equal Opportunity Employer. We provide equal opportunity to all qualified individuals regardless ofrace, sex, color, religious creed, religion, national origin, citizenship status, age, disability, pregnancy, ancestry, military service or veteran status, genetic or carrier status, marital status, sexual orientation, or any classification protected by applicable federal, state or local laws.

At Primerica, we believe that diversity and inclusion are critical to our future and our mission - creating a foundation for a creative workplace that leads to innovation, growth, and profitability. Through a variety of programs and initiatives, we invest in each employee, seeking to ensure that our people are not only respected as individuals, but also truly valued for their unique perspectives.


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