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

Data Analyst

Washington, DC · On-site

$115K - $125K/yr

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

Support data and analytics requests by gathering business requirements, sourcing, analyzing, and ... In addition to offering a competitive salary we also offer: * health insurance * dental insurance ...

Data Analyst

Washington, DC · On-site

$115K - $125K/yr

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

You will perform data extraction, exploratory data analytics, and present your findings in ... insurance, paid and unpaid time off, and retirement and savings plans to qualifying employees.

Data Analyst

Alexandria, VA · On-site

$62K - $85K/yr

... data analytics, robotics, and machine learning. • Ability to take and apply training in data ... Legal Insurance and Pet Insurance * Employee Assistance Program, fitness and wellness benefits, and ...

Three (3) years of experience in data analytics * Experience as a data analyst or similar role with ... Life Insurance * Accidental Death and Dismemberment Insurance * Disability: Short-term and ...

Three (3) years of experience in data analytics * Experience as a data analyst or similar role with ... Life Insurance * Accidental Death and Dismemberment Insurance * Disability: Short-term and ...

Three (3) years of experience in data analytics * Experience as a data analyst or similar role with ... Life Insurance * Accidental Death and Dismemberment Insurance * Disability: Short-term and ...

Three (3) years of experience in data analytics * Experience as a data analyst or similar role with ... Life Insurance * Accidental Death and Dismemberment Insurance * Disability: Short-term and ...

Data Analyst - Mid

Quantico, VA · On-site

$135K - $150K/yr

Perform descriptive, diagnostic, and basic predictive analytics to identify trends, relationships ... plans, insurance programs, and education and training assistance. EEO Statement EEO Race/Sex ...

Data Analyst - Mid

Quantico, VA · On-site

$135K - $150K/yr

Perform descriptive, diagnostic, and basic predictive analytics to identify trends, relationships ... retirement plans, insurance programs, and education and training assistance. EEO Race/Sex ...

Overview Amyx is seeking to hire a Data Analyst to join our Defense Logistics Agency program ... Basic & Voluntary Life Insurance * Wellness Program * PTO * 11 Holidays * Professional Development ...

Bachelor's degree in Analytics, Statistics, Mathematics, Computer Science, Business, or related ... Comprehensive insurance options . Matching contributions through the 401(k) plan and the share ...

Showing results 41-60

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:
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.

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 19 days ago


Job description

Overview

Job Summary

Galapagos Federal Systems LLC is looking for an enthusiastic, well-qualified individual to fill the Data Analyst position. This role offers the opportunity to work with a diverse and talented group of individuals committed to driving success.

The ideal candidate is responsible for collecting, analyzing, and managing system and project data to support Tech Refresh operations, data-driven decision-making, and process improvement initiatives.

The Data Analyst provides actionable insights, automation recommendations, and project status reporting to support current and future growth. This position plays a key role in ensuring Tech Refresh schedules, asset execution, and implementation activities are supported by accurate, timely, and well-structured data.

Key Responsibilities

The Data Analyst will:

  • Support Tech Refresh data analysis activities across DIA systems and sites within contract scope
  • Collect, analyze, and maintain system, asset, and project data related to Tech Refresh operations
  • Provide process improvement and automation recommendations to enhance Tech Refresh execution and data management
  • Develop and maintain project data, dashboards, reports, and status updates to track schedule, implementation, and asset execution
  • Prepare and define data requirements supporting Tech Refresh utilization, planning, and execution
  • Analyze trends and performance metrics to support project success and future enterprise growth
  • Ensure data accuracy, integrity, and consistency across reporting artifacts
  • Collaborate with technical, operational, and leadership teams to translate requirements into data-driven solutions
  • Support planning and scalability efforts for future DIA and Defense Intelligence Enterprise sites
  • Document data sources, methodologies, and analytical processes
Requirements

Skills and Experience

The Data Analyst must have:

  • Active Top Secret/Sensitive Compartmented Information (TS/SCI) security clearance
  • 10+ years of relevant experience in data analytics, data management, data engineering, or related disciplines supporting DoD, Intelligence Community, or Federal programs
  • Demonstrated experience collecting, acquiring, extracting, integrating, inspecting, cleansing, validating, and managing data from multiple structured and unstructured sources
  • Strong knowledge of data analysis, data management principles, and data lifecycle processes
  • Experience or working knowledge of data engineering principles, data science methodologies, and process automation and optimization techniques
  • Proven ability to analyze complex datasets and translate findings into actionable insights for both technical and non-technical stakeholders
  • Experience supporting Department of Defense (DoD) or Intelligence Community (IC) programs
  • Familiarity with enterprise IT modernization, technology refresh (Tech Refresh), or digital transformation initiatives
  • Strong attention to detail with the ability to manage multiple data sources, priorities, and deliverables in a dynamic environment

Education and Certifications

The Data Analyst must meet the following:

Required

  • Bachelor's degree in a relevant field such as Data Science, Statistics, Mathematics, Computer Science, Information Systems, or a related discipline
  • Relevant experience may be substituted in lieu of a degree

Preferred

  • CompTIA Security+ CE
  • CompTIA Data+
  • Certified Data Analyst (vendor-neutral or platform-specific)
  • Microsoft, AWS, or other analytics-related certifications

Benefits

  • Medical, dental, vision, disability, and life insurance
  • Flexible Spending Accounts
  • 401(k)
  • PTO
  • Paid Parental Leave
  • Tuition reimbursement
  • Paid federal holidays

Security Clearance

Must be a U.S. Citizen. A high-level Department of Defense active security clearance is/may be required. Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to government information.

Physical Requirements

Work may involve sitting or standing for extended periods of time and typing and reading from a computer screen. The candidate must have enough mobility, including bending, reaching, and kneeling, to complete daily duties in a prompt and efficient manner, and that may include lifting up to thirty pounds, as necessary.

Company Summary

Headquartered in Hawaii, Galapagos Federal Systems, LLC, is an SBA-Certified NHO-owned 8(a) Small Business specializing in global information technology solutions. We deliver professional services in IT Design & Installation, Cybersecurity Engineering & Support, Application Integration & Development, Software & Hardware Engineering, Network & Systems Management, Information Systems Security, and Business Management Services.

Leveraging over 30 years of providing IT services to the federal & commercial market with projects found around the world, our team has innovative expertise in the development of a wide range of technological solutions. Galapagos Federal Systems, LLC is an equal opportunity employer.

Our service commitment is simple - "Quality IT Solutions... On Time & On Budget."

Company Employment Statement

Galapagos Federal Systems, LLC reserves the right to change or modify job duties and assignments at any time. The above job description is not all encompassing as positions, functions, and qualifications may vary depending on business needs. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

Galapagos Federal Systems, LLC is an equal opportunity employer and does not discriminate against applicants based on race, color, creed, religion, medical condition, legally protected genetic information, national origin, sex (including pregnancy, childbirth, or related medical condition), sexual orientation, gender identity and expression, age, disability, or Vietnam era, or other eligible veteran status or legally protected characteristics.

Posted Salary RangeUSD $115,000.00 - USD $125,000.00 /Yr.Employment Type: FULL_TIME