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

EPIC Brokers

Lead Insurance Data Scientist

Atlanta, GA · On-site

$150/hr

There are many reasons why EPIC Insurance Brokers & Consultants has become one of the fastest ... Join our Enterprise Data & Analytics team and play a central role in advancing data analysis ...

Oscar Health

Manager, Data Analytics

Atlanta, GA · Hybrid

$111K - $145K/yr

Oscar is the first health insurance company built around a full stack technology platform and a ... The Data Analytics Manager works across and outside the organization to solve complex data issues.

AIG

Data Analytics, Manager, P&C Insurance

Atlanta, GA · On-site

American International Group, Inc. (AIG) is a leading global insurance organization. The Data Analytics, Manager, Commercial Lines role will be responsible for working directly with leaders within ...

Oscar Health

Manager, Data Analytics

Atlanta, GA · On-site

$111K - $145K/yr

Oscar is the first health insurance company built around a full stack technology platform and a ... The Data Analytics Manager works across and outside the organization to solve complex data issues.

Oscar Health

Manager, Data Analytics

Atlanta, GA · Hybrid

$111K - $145K/yr

Oscar is the first health insurance company built around a full stack technology platform and a ... The Data Analytics Manager works across and outside the organization to solve complex data issues.

AIG

Director, Warranty Data Governance

Atlanta, GA · On-site +1

The candidate is responsible for leading a team of data analysts with cross-functional team ... Understanding of Warranty or Insurance products is strongly recommended. * Previous experience in ...

Impiricus

Data Analyst

Atlanta, GA

$85K - $95K/yr

Commercial Analytics * Partner with Client Services and Sales to provide analytical support for ... AD&D insurance Flexible Time Off : Take the time you need with a flexible vacation policy ...

AT and T

Lead Advanced Data Analyst

Alpharetta, GA · On-site

$128K - $215K/yr

The Lead Advanced Analytics role is responsible for designing, developing, and maintaining advanced ... Disability Benefits (short term and long term) * Life and Accidental Death Insurance * Supplemental ...

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All JobsInsurance Data Analytics JobsInsurance Data Analytics Jobs in Atlanta, GA

Insurance Data Analytics information

See Atlanta, GA salary details

$23

$52

$90

How much do insurance data analytics jobs pay per hour?

As of Aug 4, 2026, the average hourly pay for insurance data analytics in Atlanta, GA is $52.65, according to ZipRecruiter salary data. Most workers in this role earn between $42.31 and $59.66 per hour, depending on experience, location, and employer.

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.

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 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.

Is data analytics a high paying job?

Data analytics roles, including those in insurance data analytics, are generally considered well-paying compared to many other entry-level positions. Salaries vary based on experience, skills, and location, but professionals with expertise in tools like SQL, Python, or R often earn competitive wages and have strong job growth prospects.

How much does an insurance data analyst make?

The average salary for an insurance data analyst typically ranges from $60,000 to $90,000 annually, depending on experience, location, and industry. Professionals with advanced skills in data visualization, statistical analysis, and tools like SQL or Python may earn higher salaries, especially in larger organizations or metropolitan areas.

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 most commonly searched types of Insurance Data Analytics jobs in Atlanta, GA? The most popular types of Insurance Data Analytics jobs in Atlanta, GA are:
What are popular job titles related to Insurance Data Analytics jobs in Atlanta, GA? For Insurance Data Analytics jobs in Atlanta, GA, the most frequently searched job titles are:
What job categories do people searching Insurance Data Analytics jobs in Atlanta, GA look for? The top searched job categories for Insurance Data Analytics jobs in Atlanta, GA are:
Insurance Data Analytics jobs near you
Infographic showing various Insurance Data Analytics job openings in Atlanta, GA as of July 2026, with employment types broken down into 1% Internship, 93% Full Time, 3% Part Time, and 3% Contract. Highlights an 79% Physical, 5% Hybrid, and 16% Remote job distribution, with an average salary of $109,507 per year, or $52.6 per hour.

Business Analyst- Property & Casualty (P&C) Insurance

Nous Infosystems

Atlanta, GA • On-site

Other

Posted 5 days ago

Job description

Role Overview

We are seeking an experienced Business Analyst to support Assurant''s Customer 360 platform, being developed on the Databricks platform. The ideal candidate will have strong expertise in Property & Casualty (P&C) Insurance, data analytics, SQL, and customer data transformation initiatives. This role will partner with business stakeholders, data engineering teams, insurance carriers, and product owners to deliver a unified customer view and drive data-driven business outcomes.

Key Responsibilities

  • Gather, analyze, and document business requirements, user stories, and process flows for Customer 360 initiatives.
  • Work closely with Data Engineering and Technology teams on Databricks-based data solutions and customer data integration requirements.
  • Analyze change requests and assess business, data, and system impacts.
  • Perform complex SQL-based data analysis, validation, reconciliation, and troubleshooting.
  • Conduct root cause analysis and resolve data quality, mapping, and process-related issues.
  • Collaborate with business stakeholders, insurance carriers, lenders, and servicing teams to support customer and policy data initiatives.
  • Support Agile delivery, including backlog refinement, sprint planning, UAT, and release validation.
  • Create and maintain business documentation, process flows, release notes, and functional specifications.

Required Qualifications

  • 8+ years of Business Analyst experience.
  • Strong expertise in SQL, data analysis, and data validation.
  • Experience working on Customer 360, Customer Data Platform (CDP), Master Data Management (MDM), or enterprise data initiatives.
  • Deep understanding of Property & Casualty (P&C) Insurance.
  • Experience with Lender-Placed Insurance, Insurance Tracking, Mortgage Servicing, or Policy Administration Systems.
  • Strong understanding of data mapping, data lineage, and system integrations.
  • Experience working in Agile/Scrum environments.
  • Excellent analytical, communication, and stakeholder management skills.
  • Bachelor''s degree or higher.

Preferred Skills

  • Exposure to Databricks, Data Lakehouse architecture, data warehousing, and cloud-based analytics platforms.
  • Knowledge of APIs, ETL processes, and customer data integration frameworks.
  • Understanding of US insurance regulations and compliance requirements.
  • Experience with Jira, Confluence, Azure DevOps, or similar tools.

Key Skills

Business Analysis | Customer 360 | Databricks | SQL | Data Analysis | P&C Insurance | Lender-Placed Insurance | Insurance Tracking | Mortgage Servicing | Data Mapping | Data Quality | Agile/Scrum | UAT | Stakeholder Management | Customer Data Platforms (CDP) | MDM

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