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Insurance Data Analytics Jobs in Georgia (NOW HIRING)

Bachelor's degree in business administration, information systems, data analytics, computer science ... Free Life and Disability Insurance * Health and Dependent Care Flexible Spending Accounts * 401k ...

Bachelor's degree in business administration, information systems, data analytics, computer science ... Free Life and Disability Insurance * Health and Dependent Care Flexible Spending Accounts * 401k ...

Bachelor's degree in business administration, information systems, data analytics, computer science ... Free Life and Disability Insurance * Health and Dependent Care Flexible Spending Accounts * 401k ...

Bachelor's degree in business administration, information systems, data analytics, computer science ... Free Life and Disability Insurance * Health and Dependent Care Flexible Spending Accounts * 401k ...

Bachelor's degree in business administration, information systems, data analytics, computer science ... Free Life and Disability Insurance * Health and Dependent Care Flexible Spending Accounts * 401k ...

Bachelor's degree in business administration, information systems, data analytics, computer science ... Free Life and Disability Insurance * Health and Dependent Care Flexible Spending Accounts * 401k ...

Bachelor's degree in business administration, information systems, data analytics, computer science ... Free Life and Disability Insurance * Health and Dependent Care Flexible Spending Accounts * 401k ...

Bachelor's degree in business administration, information systems, data analytics, computer science ... Free Life and Disability Insurance * Health and Dependent Care Flexible Spending Accounts * 401k ...

A bachelor's degree or 3+ years commensurate experience * 3+ years of work experience in operations, health insurance, data analysis, engineering and/or consulting * 2+ years of experience using data ...

Develop data collection systems, implement databases and analytics to optimize efficiency * Conduct ... insurance, paid family leave and more, we've launched extended benefits to help meet our employees ...

Develop data collection systems, implement databases and analytics to optimize efficiency * Conduct ... insurance, paid family leave and more, we've launched extended benefits to help meet our employees ...

Job#: 3044413 Data Analyst Location: Remote Role Overview We are seeking a Data Analyst to perform ... other insurance plans that offer an optional layer of financial protection. We offer an ESPP ...

Data Analyst

Columbus, GA · On-site +1

$52K - $80K/yr

Knowledge of the operations of the business and the insurance industry preferred. Ability to ... Bachelor's Degree in Analytics, Computer Science or a related field. * 0 - 2+ years of job-related ...

Showing results 21-40

Insurance Data Analytics information

See Georgia salary details

$20

$46

$79

How much do insurance data analytics jobs pay per hour?

As of Sep 2, 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 insurance data analytics?

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 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 key skills and qualifications needed to thrive in insurance data analytics?

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.

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 examines large datasets to identify trends, assess risk, and support decision-making processes within insurance companies. They use tools like Excel, SQL, and data visualization software to interpret claims, policy data, and customer information, helping improve underwriting, pricing, and fraud detection.

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 job categories do people searching Insurance Data Analytics jobs in Georgia look for?

The top searched job categories for 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 August 2026, with employment types broken down into 1% As Needed, 73% Full Time, 21% Part Time, and 5% Contract. Highlights an 91% Physical, 1% Hybrid, and 8% Remote job distribution, with an average salary of $96,153 per year, or $46.2 per hour.

Senior Consultant - Life Sciences Data & Analytics

Guidehouse

Atlanta, GA

$98K - $163K/yr

Full-time

Medical, Dental, Vision, Life, Retirement

Posted 19 days ago


Guidehouse rating

8.0

Company rating: 8.0 out of 10

Based on 28 frontline employees who took The Breakroom Quiz

35th of 72 rated business consultants


Job description

Job Family:

Strategy & Transformation Consulting


Travel Required:

Up to 10%


Clearance Required:

None

What You Will Do:


Breakthroughs in pharma are helping people live healthier lives, while medical devices enable patients to proactively maintain health - this is undoubtedly a transformative time for health care companies.Guidehouse's Life Sciences practice is an engine of innovation, helping pharmaceutical, biotech, medical device, and diagnostic companies develop custom solutions that tackle today's challenges, while anticipating tomorrows.You will have an immediate impact by partnering with our clients, across all levels, to deliver product planning, pricing, reimbursement, product commercialization, and regulatory and compliance solutions.

As a Senior Consultant, you are responsible for data management, technical delivery, and coaching data engineers to execute client work. In this role you will develop and improve predictive models for outcomes, efficacy proxies, and forecasting using statistical and machine learning methods in addition to conducting advanced analytics using big datasets, including claims, affiliations, payer, sales, and other sources. You will be responsible for building internal tools and automating workflows to accelerate delivery timelines and improve team productivity. Strong candidates are able to clearly document, process map, and train the business on techniques utilized and constantly search for opportunities to improve outcomes.
What You Will Need:

  • A BA/BS degree in a quantitative field, such as Data Analytics/Science, Mathematics, Computer Science, Engineering, Statistics, Business Analytics, or related course of study, is required.

  • A Minimum of FOUR (4) years of prior relevant consulting or work experience working with large global pharma, mid-sized pharma, and/or biotech clients.

  • Strong understanding of the pharmaceutical industry, including drug development and launch.

  • Strong foundation across life science functions, including commercial operations, market access, patient services, and medical

  • The ability work independently to analyze complex information, quality check results, and develop a structured, data-informed story

  • Excellent communication skills to convey technical execution summaries and insight recommendations to various stakeholders, including senior management.

  • Experience performing Data Analytics on large health data sets and possess a strong knowledge of modern datasets and analytics environments

  • Strong fluency coding in SQL, Python (or other equivalent scripting language), cloud data platforms, and knowledge of life sciences data (e.g., claims, EHR, sales data, formulary, and coverage data)

  • Ability to work in a matrixed organization

  • Must be collaborative and a team player.

  • Must be willing and able to travel to Guidehouse and client sites across the US, up to 10% of the time.

  • Authorized/eligible to work for any US employer without sponsorship.


What Would Be Nice To Have:

  • Must have excellent written and oral communication skills.

  • An advanced degree/PhD preferred.

  • Experience working with data platforms such as Databricks, Snowflake, and Palantir

  • Working knowledge of AI/ML and applications in the life sciences industry

  • Demonstrated success in formally supervising, coaching, and mentoring junior-level staff, including ownership and guidance of their career development.

  • Preference will be given to candidates local to the Washington, DC metro area.

The annual salary range for this position is $98,000.00-$163,000.00. Compensation decisions depend on a wide range of factors, including but not limited to skill sets, experience and training, security clearances, licensure and certifications, and other business and organizational needs.


What We Offer:

Guidehouse offers a comprehensive, total rewards package that includes competitive compensation and a flexible benefits package that reflects our commitment to creating a diverse and supportive workplace.

Benefits include:

  • Medical, Rx, Dental & Vision Insurance

  • Personal and Family Sick Time & Company Paid Holidays

  • Position may be eligible for a discretionary variable incentive bonus

  • Parental Leave and Adoption Assistance

  • 401(k) Retirement Plan

  • Basic Life & Supplemental Life

  • Health Savings Account, Dental/Vision & Dependent Care Flexible Spending Accounts

  • Short-Term & Long-Term Disability

  • Student Loan PayDown

  • Tuition Reimbursement, Personal Development & Learning Opportunities

  • Skills Development & Certifications

  • Employee Referral Program

  • Corporate Sponsored Events & Community Outreach

  • Emergency Back-Up Childcare Program

  • Mobility Stipend

About Guidehouse

Guidehouse is an Equal Opportunity Employer-Protected Veterans, Individuals with Disabilities or any other basis protected by law, ordinance, or regulation.

Guidehouse will consider for employment qualified applicants with criminal histories in a manner consistent with the requirements of applicable law or ordinance including the Fair Chance Ordinance of Los Angeles and San Francisco.

If you have visited our website for information about employment opportunities, or to apply for a position, and you require an accommodation, please contact Guidehouse Recruiting at 1-571-633-1711 or via email at RecruitingAccommodation@guidehouse.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodation.

All communication regarding recruitment for a Guidehouse position will be sent from Guidehouse email domains including @guidehouse.com or guidehouse@myworkday.com. Correspondence received by an applicant from any other domain should be considered unauthorized and will not be honored by Guidehouse. Note that Guidehouse will never charge a fee or require a money transfer at any stage of the recruitment process and does not collect fees from educational institutions for participation in a recruitment event. Never provide your banking information to a third party purporting to need that information to proceed in the hiring process.

If any person or organization demands money related to a job opportunity with Guidehouse, please report the matter to Guidehouse's Ethics Hotline. If you want to check the validity of correspondence you have received, please contact recruiting@guidehouse.com. Guidehouse is not responsible for losses incurred (monetary or otherwise) from an applicant's dealings with unauthorized third parties.

Guidehouse does not accept unsolicited resumes through or from search firms or staffing agencies. All unsolicited resumes will be considered the property of Guidehouse and Guidehouse will not be obligated to pay a placement fee.


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