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Insurance Data Analytics Jobs in Georgia (NOW HIRING)

FEDRUS GLOBAL LLC

Reporting Data Analyst

Alpharetta, GA · On-site

... Analytics Cloud) Working knowledge of insurance source systems (Guidewire, Genius, SAP) Strong SQL skills and experience with enterprise data warehouses Understanding of dimensional modeling and ...

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.

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.

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.

Skanska USA

Data Analytics Engineer

Atlanta, GA · On-site

$110K - $132K/yr

Job Overview Skanska is searching for a dynamic Data Analytics Engineer. This is a great ... That's why we provide an array of options (including medical, dental, and vision insurance plans ...

Starr

Senior Director, Data Architecture

Atlanta, GA · On-site

$64.75 - $86.50/hr

... analytics, operational systems, and augmentation with external data sources. • Develop and champion standardized, insurance-centric data modeling frameworks, data architecture best practices, and ...

Centene

Director, Provider Data & Analytics

Atlanta, GA · On-site

$113K - $209K/yr

Oversee all of the reporting and data requirements for the health plan, including but not be ... pay, health insurance, 401K and stock purchase plans, tuition reimbursement, paid time off plus ...

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How much do insurance data analytics jobs pay per hour?

As of Jul 9, 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 are popular job titles related to Insurance Data Analytics jobs in Georgia? For Insurance Data Analytics jobs in Georgia, the most frequently searched job titles 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:
Insurance Data Analytics jobs near you
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.

Reporting Data Analyst (Hybrid)

Siritech Solutions Corp

Alpharetta, GA • Hybrid

Full-time

Re-posted 7 days ago

Job description

Total Required Experience in Years:Minimum 13+ Years Overall, 10+ Years EDW/DWH, 7+ Years P&C Insurance, 5+ Years BI/Reporting Tools
Visa: H1/GC/ USC
Mode of Work: Hybrid (3 Days Onsite)
Job Description:Seeking an experienced Reporting Data Analyst to support enterprise reporting, data warehousing, analytics, and insurance data initiatives within a Property & Casualty (P&C) insurance environment. The ideal candidate should possess deep expertise in enterprise data warehousing, reporting, Workers Compensation, insurance data interpretation, Guidewire systems, SQL, dimensional modeling, and reporting architecture. This role requires acting as a Subject Matter Expert (SME) for enterprise insurance data, translating complex business processes into reporting structures, ensuring accurate data lineage, validating enterprise reporting outputs, and supporting analytics initiatives aligned with business objectives and regulatory requirements. The candidate will collaborate with business leaders, technical teams, and stakeholders to ensure reliable reporting, accurate warehouse data interpretation, and strong enterprise data governance practices.


Key Responsibilities:

  • Act as a Data and Domain SME across Property & Casualty insurance subject areas including policy, claims, billing, and financial systems
  • Demonstrate expertise in Commercial Lines including Workers Compensation, General Liability, Commercial Auto, Property, and Umbrella/Excess insurance domains
  • Collaborate with business stakeholders to gather, analyze, validate, and document reporting requirements and data extract needs
  • Translate insurance business processes into dimensional models, KPIs, business metrics, and enterprise reporting structures
  • Leverage Guidewire platforms including PolicyCenter, ClaimCenter, BillingCenter, Genius, and SAP to interpret enterprise data and establish lineage
  • Map policy lifecycle activities including submission, quote, bind, issue, endorsements, renewals, cancellations, and reinstatements into EDW structures
  • Analyze claims lifecycle data including reserves, recoveries, payments, and financial reporting metrics
  • Perform source-to-target mapping, data lineage analysis, transformation validation, and reconciliation across ETL and EDW environments
  • Develop, validate, and optimize complex SQL queries, reporting datasets, and views across enterprise warehouse environments
  • Ensure consistency, reconciliation, and accuracy between source systems and enterprise warehouse reporting layers
  • Review, certify, and validate reports for business accuracy, completeness, and compliance requirements
  • Investigate and resolve data discrepancies across source systems, ETL pipelines, reporting environments, and warehouse layers
  • Document business rules, metadata, data lineage, mappings, and reporting definitions
  • Support User Acceptance Testing (UAT), defect analysis, reporting enhancements, and production reporting support
  • Educate stakeholders on reporting interpretation, governance standards, and enterprise data usage best practices


Additional Responsibilities:

  • Support enterprise reporting governance, insurance analytics, and business intelligence initiatives
  • Collaborate with senior business leaders and cross-functional technical teams on strategic reporting efforts
  • Provide SME-level guidance on insurance data interpretation and enterprise reporting architecture
  • Facilitate stakeholder discussions and explain complex data concepts to technical and non-technical audiences
  • Support continuous improvement efforts for reporting quality, data governance, and warehouse optimization


Required Skills:

  • Minimum 13+ years of experience as a hands-on Reporting/Data Analyst in enterprise environments
  • Minimum 10+ years of experience working with Enterprise Data Warehousing (EDW/DWH) solutions
  • Minimum 7+ years of Property & Casualty (P&C) Insurance experience, preferably Commercial Lines
  • Strong domain expertise in Workers Compensation and claims analytics
  • Minimum 5+ years of experience with BI and reporting tools such as Power BI and MicroStrategy
  • Hands-on experience with Guidewire (PolicyCenter, ClaimCenter, BillingCenter), Genius, and SAP
  • Advanced SQL experience working with large-scale enterprise data warehouses
  • Strong understanding of data lineage, traceability, dimensional modeling, source-to-target mapping, and reporting architecture
  • Proven experience reconciling data between enterprise transactional systems and warehouse environments
  • Strong stakeholder communication, documentation, analytical, and problem-solving skills


Qualifications:

  • Strong experience working in enterprise insurance, data warehousing, and reporting environments required
  • Recognized SME-level expertise in Insurance Data and Data Warehousing preferred
  • Ability to work independently in complex and ambiguous environments required
  • Canada Citizen or Permanent Resident required


Education:

  • Bachelors degree in Computer Science, MIS, or related field (or equivalent experience) required


Certifications:

  • Power BI certification preferred
  • Data Warehousing or Business Intelligence certification preferred