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Insurance Data Analytics Jobs in Washington, DC (NOW HIRING)

KPMG

Manager, Oracle Data & Analytics

Ashburn, VA · On-site

KPMG is currently seeking a Manager, Oracle Data & Analytics for our Consulting practice ... life insurance, 401(k) plans, and a robust suite of personal well-being benefits to support your ...

Data Intelligence LLC

Senior Data Analyst

Quantico, VA

$91K - $114K/yr

This role focuses on advanced data analytics, statistical modeling, and integration of data-driven ... We offer medical, dental and vision insurance, 401k, PTO and 11 paid holidays. Apply Now Refer to a ...

Data Intelligence LLC

Senior Data Analyst

Quantico, VA · On-site

$91K - $114K/yr

This role focuses on advanced data analytics, statistical modeling, and integration of data-driven ... We offer medical, dental and vision insurance, 401k, PTO and 11 paid holidays.

Insilico Logix

Data Analyst

Herndon, VA

$60K - $70K/yr

... Insurance - Immigration Support for OPT students and visa holders - Skills Enhancement Data Analytics Training Program is provided for selected candidates ** OPT students may also apply If you are ...

Na Oiwi Kane

Data Analyst

Washington, DC · On-site

The Data Analyst provides actionable insights, automation recommendations, and project status ... analytics-related certifications Benefits * Medical, dental, vision, disability, and life insurance

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Showing results 21-40

All JobsInsurance Data Analytics JobsInsurance Data Analytics Jobs in Washington, DC

Insurance Data Analytics information

See Washington, DC salary details

$27

$62

$106

How much do insurance data analytics jobs pay per hour?

As of Aug 11, 2026, the average hourly pay for insurance data analytics in Washington, DC is $62.01, according to ZipRecruiter salary data. Most workers in this role earn between $49.81 and $70.24 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 Washington, DC? The most popular types of Insurance Data Analytics jobs in Washington, DC are:
What are popular job titles related to Insurance Data Analytics jobs in Washington, DC? For Insurance Data Analytics jobs in Washington, DC, the most frequently searched job titles are:
What job categories do people searching Insurance Data Analytics jobs in Washington, DC look for? The top searched job categories for Insurance Data Analytics jobs in Washington, DC are:
Insurance Data Analytics jobs near you
Infographic showing various Insurance Data Analytics job openings in Washington, DC as of August 2026, with employment types broken down into 1% As Needed, 70% Full Time, 24% Part Time, and 5% Contract. Highlights an 91% Physical, 1% Hybrid, and 8% Remote job distribution, with an average salary of $128,972 per year, or $62 per hour.

Data Analytics Lead/Reporting SME

Goldbelt Frontier Llc

Alexandria, VA

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 26 days ago

Job description

Overview

Please note that this position is contingent upon the successful award of a contract currently under bid.

Goldbelt Frontier is committed to providing support for a range of health technology management operations, projects, and services across the government and commercial industries. Frontier collaborates with clients and partners with other businesses to ensure that the right solution with the right people is delivered to meet the client's needs. Many senior project managers and business analysts are subject matter experts in their respective fields. Frontier understands how to support multiple stakeholders to aid in developing and implementing national policies, strategies, and doctrine. 

Summary:

The Data Analytics Lead/Reporting SME is responsible for leading reporting and analytics operations, developing dashboards, and delivering actionable insights to support data-driven decision-making. This role ensures accurate tracking of performance metrics, including inventory accuracy and SLA compliance, while supporting system-of-record data integrity and operational performance across enterprise asset management systems.

Responsibilities

Essential Job Functions:

  • Develop and maintain:
    • Asset attestation dashboards (ServiceNow-based)
    • Analyze and report on ServiceNow workflow and ticket performance, including SLA compliance, timeliness, and process efficiency
    • Property Custodian reports (quarterly/semiannual)
  • Integrate data across:
    • Asset Management System
    • ServiceNow
    • Enterprise Data Warehouse
  • Lead data quality analysis, validation, and remediation activities to ensure system-of-record accuracy and data integrity across enterprise systems
  • Track and report KPIs including inventory accuracy, SLA compliance, and data completeness
  • Provide leadership and guidance in reporting and analytics activities to ensure consistent, accurate, and actionable outputs
  • Collaborate with stakeholders to translate reporting needs into actionable insights
  • Support continuous process improvement initiatives and compliance with USPTO asset management policies and federal property accountability standards
Qualifications

Necessary Skills and Knowledge:

  • Demonstrate excellent written and verbal communication in interpersonal exchanges
  • Highly organized with great attention to detail

Minimum Qualifications:

  • 5-8+ years of experience in data analytics and reporting in enterprise environments
  • Experience with Tableau, Power BI, or similar platforms
  • Experience integrating data across multiple enterprise systems

Preferred Qualifications:

  • SQL or advanced analytics tools
  • Federal reporting and ServiceNow analytics experience

Pay and BenefitsAt Goldbelt, we value and reward our team's dedication and hard work. We provide a competitive base salary commensurate with your qualifications and experience. As an employee, you'll enjoy a comprehensive benefits package, including medical, dental, and vision insurance, a 401(k) plan with company matching, tax-deferred savings options, supplementary benefits, paid time off, and professional development opportunities.

Employment Type: FULL_TIME

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