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Remote Insurance Data Analytics Jobs in Atlanta, GA

Kiewit

Data Engineer-Kiewit Nuclear Solutions 1

Atlanta, GA · On-site +1

$110K - $132K/yr

Location This is a remote position that may require some travel. #LI Responsibilities Power BI ... Analyze and troubleshoot end-to-end data pipelines * Contribute to ELT design patterns across:

Career Renew

Strategy and Analytics, Credit

Atlanta, GA · On-site +1

$180K - $220K/yr

Conduct deep, rigorous data analysis on prospect data to create proof-of-concept retro studies ... insurance for you and dependents. * Remote Flexibility: Work from anywhere in the US with optional ...

Booz Allen Hamilton

Data Management Analyst

Atlanta, GA · On-site +1

Data Management Analyst The Opportunity: To achieve an organization's mission, leaders need strong ... Experience supporting or developing programs involving digital health technologies, such as remote ...

PrizePicks

Data Platform Engineer

Atlanta, GA · On-site +1

$100K - $150K/yr

You will power real-time decisions across the platform, from dynamic oddsmaking and risk analysis ... S. and are willing to consider remote candidates. #LI-Remote Working at PrizePicks: The typical ...

ConstructConnect

Data Scientist I

Atlanta, GA · On-site +1

Use data analysis combined with economic and business knowledge to make recommendations on the ... Team members are expected to maintain a dedicated and ergonomically appropriate remote workspace.

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

Remote Insurance Data Analytics information

See Atlanta, GA salary details

$23

$52

$90

How much do remote insurance data analytics jobs pay per hour?

As of Jun 15, 2026, the average hourly pay for remote 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 is the difference between Remote Insurance Data Analytics vs Remote Insurance Underwriter?

AspectRemote Insurance Data AnalyticsRemote Insurance Underwriter
Required CredentialsBachelor's in Data Science, Statistics, or related field; often certifications in data analysis or analyticsBachelor's in Business, Finance, or related; often requires insurance licensing or certifications
Work EnvironmentPrimarily data analysis, modeling, and reporting; often collaborative with IT and actuarial teamsAssessing risks, reviewing applications, making underwriting decisions; involves communication with agents and clients
Employer & Industry UsageUsed across insurance companies, reinsurers, and brokers for data-driven decision makingUsed by insurance carriers to evaluate and approve policies

Remote Insurance Data Analytics focuses on analyzing insurance data to inform business decisions, while Remote Insurance Underwriters evaluate individual insurance applications to determine coverage. Both roles are essential in the insurance industry but differ in daily tasks and required skills.

What is remote insurance data analytics?

Remote insurance data analytics is the practice of analyzing insurance-related data, such as claims, risk assessments, and customer information, from a location outside of a traditional office setting. Professionals in this field use statistical methods, data mining, and machine learning tools to identify patterns, detect fraud, and help insurance companies make data-driven decisions. This remote role often requires proficiency in data analysis tools like SQL, Python, or R, and a strong understanding of insurance industry concepts. Remote insurance data analysts collaborate with teams virtually to provide insights and support business strategies, making it a flexible career option.

How do Remote Insurance Data Analytics professionals typically collaborate with cross-functional teams to drive business insights?

Remote Insurance Data Analytics professionals often work closely with underwriters, actuaries, claims managers, and IT teams to gather data requirements, interpret findings, and implement data-driven solutions. Collaboration usually happens through virtual meetings, collaborative dashboards, and project management tools to ensure clear communication and alignment on objectives. This cross-functional approach helps identify trends, optimize risk assessments, and support strategic decision-making within the organization. Building strong relationships with team members across departments is key to successfully translating analytical results into actionable business strategies.

What are the key skills and qualifications needed to thrive as a Remote Insurance Data Analytics professional, and why are they important?

To excel in Remote Insurance Data Analytics, you need strong analytical skills, a background in statistics or mathematics, and typically a degree in data science, actuarial science, or a related field. Familiarity with data analysis tools like SQL, Python, R, and specialized insurance analytics platforms such as SAS or Tableau, as well as relevant certifications, is highly valuable. Attention to detail, problem-solving abilities, and effective communication set candidates apart in this role. These skills are crucial for transforming complex insurance data into actionable insights that drive informed business decisions and risk assessments.
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 Remote Insurance Data Analytics jobs in Atlanta, GA? For Remote Insurance Data Analytics jobs in Atlanta, GA, the most frequently searched job titles are:
What job categories do people searching Remote Insurance Data Analytics jobs in Atlanta, GA look for? The top searched job categories for Remote Insurance Data Analytics jobs in Atlanta, GA are:
What cities near Atlanta, GA are hiring for Remote Insurance Data Analytics jobs? Cities near Atlanta, GA with the most Remote Insurance Data Analytics job openings:
Remote Insurance Data Analytics jobs near you
Data Engineer-Kiewit Nuclear Solutions 1

Data Engineer-Kiewit Nuclear Solutions 1

Kiewit

Atlanta, GA • On-site, Remote

$110K - $132K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 26 days ago

Kiewit Corporation rating

8.0

Company rating: 8.0 out of 10

Based on 133 frontline employees who took The Breakroom Quiz

20th of 78 rated construction

Job description

Requisition ID: 180211
Job Level: Mid Level
Home District/Group: Kiewit Nuclear Solutions
Department: Technology Group
Market: Nuclear
Employment Type: Full Time
Position Overview
Kiewit is seeking a Power BI Developer to architect, design, and deliver enterprise-grade analytics solutions supporting complex EPC projects across the organization. This is a technical role that involves building strong relationships with project and discipline leads and deploying complex data strategies activities across Kiewit's business functions. This role operates within the Digital Project Execution (DPE) team and will collaborate closely with data engineers, solution architects, project leadership, and technology teams to deliver production-grade BI solutions that drive operational decisions on major construction programs.
District Overview
This position is within the Kiewit Technology Group, supporting Kiewit Nuclear Solutions.
Location
This is a remote position that may require some travel.
#LI
Responsibilities
Power BI Development
  • Develop interactive dashboards for project and field use
  • Implement row-level security (RLS), object-level security (OLS), and governance standards
  • Deploy and manage solutions within Power BI capacities
  • Configure and optimize data gateways
  • Manage workspaces, deployment pipelines, and versioning strategies
  • Design and develop scalable Power BI datasets using modeling best practices
  • Build optimized semantic models supporting enterprise-scale reporting
  • Implement incremental refresh, aggregation tables, composite models, and DirectQuery/Import hybrid architectures
  • Engineer high-performance DAX measures for complex business logic
  • Troubleshoot and refactor poorly performing models
  • Contribute to enterprise data standards and BI best practices

Data Integration and Engineering Collaboration
  • Work with data engineers to define optimized data contracts
  • Analyze and troubleshoot end-to-end data pipelines
  • Contribute to ELT design patterns across:
    • Azure Data Lake (ADLS Gen2)
    • Azure Databricks (Spark / PySpark / Spark SQL)
    • Azure Data Factory
    • SQL Server / Azure SQL
  • Ensure datasets are structured for performance, scalability, and reusability

Qualifications
Technology stack
Primary:
  • Power BI
  • Power BI Premium / Embedded
  • Azure Databricks (PySpark, Spark SQL)
  • Azure Data Lake
  • Azure Data Factory
  • SQL Server
  • Snowflake

Supporting:
  • Python
  • Git (source control)
  • CI/CD deployment pipelines
  • Data modeling and warehousing frameworks

Required SKILLS AND ABILITIES
  • Strong PowerBi experience is required including PowerBI Premium or Embedded
  • Programming: Expert level SQL, PL/SQL, Experienced Python skills (with a strong track record of optimizing complex Power BI models for performance and scalability)
  • Proficient in writing advanced / complex SQL, expertise in optimization of SQL queries preferred.
  • Familiarity with the EPC industry required (Engineering or Construction)
  • Experience in troubleshooting and working with various teams in resolving issues / solving complex problems.
  • Proven ability to understand complex business rules and processes and then build integration processes and database views to represent those rules and processes.
  • Preferred experience in secondary tools such as Azure Databricks, Visual studio, Azure Data Factory, etc.
  • Excellent written and strong oral communication skills.
  • Understanding of ETL fundamentals and solutions.
  • Should be proficient in writing advanced / complex SQL, expertise in performance tuning and optimization of SQL queries required.
  • Experience in Python/Pyspark and Spark SQL (primary languages used in our solutions).
  • Experience in troubleshooting data issues and analyzing end to end data pipelines.
  • Strong experience developing data analytics and visualizations with transformation and aggregation from multiple formats for analyzing and uncovering insights / intelligence for project teams.
  • Familiar with source control and version control systems
  • Experience in troubleshooting and working with various teams in resolving issues / solving complex problems.
  • Proven ability to understand complex business rules and processes.
  • Experience with creation of technical documentation for Functional Requirements, Scope documents, Technical Design, and Business Process Modeling etc.

Industry Specific Experience:
  • 8+ years of experience in BI / data analytics

Other Requirements:
• Regular, reliable attendance
• Work productively and meet deadlines timely
• Communicate and interact effectively and professionally with supervisors, employees, and others individually or in a team environment
• Perform work safely and effectively. Understand and follow oral and written instructions, including warning signs, equipment use, and other policies.
• Work during normal operating hours to organize and complete work within given deadlines. Work overtime and weekends as required.
• FIELD ROLES ONLY May work at various different locations and conditions may vary
Base Compensation: $136,000/yr - $142,000/yr
(Actual compensation is subject to variation due to such factors as education, experience, skillset, and/or location)
We offer our fulltime staff employees a comprehensive benefits package that's among the best in our industry, including top-tier medical, dental and vision plans covering eligible employees and dependents, voluntary wellness and employee assistance programs, life insurance, disability, retirement plans with matching, and generous paid time off.
Equal Opportunity Employer, including disability and protected veteran status.
There's no limit to what you'll do at Kiewit. Whether you're building or supporting projects that provide communities with dependable energy, safe transportation, clean water, or access to health care, the work you do will positively impact people's lives for generations to come.
Here you'll have endless opportunities to expand your expertise through on-the-job experience and internal and external training and development opportunities.
We offer our full-time staff employees a comprehensive benefits package that's among the best in our industry. From top-tier health care programs to employee assistance programs and retirement planning, we aim to provide you with the tools you need to be successful in the areas of life that matter most to you.
Kiewit is an equal-opportunity employer, and we believe a diverse workforce is vital to the success of our business. We continue our efforts to attract, develop and retain employees from all backgrounds who are passionate about our industry.
We are committed to veteran and military hiring and will consider relevant military experience as equivalent to qualification requirements.

What Kiewit Corporation employees say

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About Kiewit

Sourced by ZipRecruiter

Kiewit Infrastructure Engineering's Design-Build team is driving clients to turn to Kiewit during all stages of design-build projects. Through our integrated design and construction approach, our multi-disciplinary team works together to improve schedule, control costs and minimize risk. Our construction-focused engineers work collaboratively with our estimators and builders to design solutions that are innovative, constructible, and designed with a focus on safety. Clients benefit from the proven processes and tools used by Kiewit to minimize project risk. We are an in-house resource that supports projects throughout the company. Our staff shares experiences gained, innovative concepts, and best practices for all projects that we support.

Industry

Construction materials wholesalers

Company size

10,000+ Employees

Headquarters location

Omaha, NE, US

Year founded

1884

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