1

Insurance Data Analyst Jobs in Washington (NOW HIRING)

DataAnalyst - Operations (Restaurant & Catering) The Data Analyst at CAVA provides analytical ... Insurance plus more! 401kenrollment with CAVA contribution Company-paidSTD, LTD, Life and AD&D ...

As a Data Analyst, you will be part of a dynamic team supporting customers within the Cybersecurity ... Medical, Rx, Dental & Vision Insurance * Personal and Family Sick Time & Company Paid Holidays

New

As a Data Analyst, you will be part of a dynamic team supporting customers within the Cybersecurity ... Medical, Rx, Dental & Vision Insurance * Personal and Family Sick Time & Company Paid Holidays

Senior Data Analyst

Quantico, VA

$91K - $114K/yr

Senior Data Analyst ID: 1592 Location: Quantico, VA More about this job > Description Data ... We offer medical, dental and vision insurance, 401k, PTO and 11 paid holidays. Apply Now Refer to a ...

Data Analyst

Alexandria, VA · On-site

$69K - $105K/yr

Kearney & Company is seeking a Data Analyst to join our team supporting one of the Federal ... Legal Insurance and Pet Insurance * Employee Assistance Program, fitness and wellness benefits, and ...

Senior Data Analyst

Quantico, VA · On-site

$91K - $114K/yr

Data Intelligence is seeking a highly skilled Senior Data Analyst to support the Naval Criminal ... We offer medical, dental and vision insurance, 401k, PTO and 11 paid holidays.

Data Analyst - Mid

Quantico, VA · On-site

$135K - $150K/yr

The Data Analyst - Mid supports CD&I by conducting quantitative and qualitative analysis to inform ... plans, insurance programs, and education and training assistance. EEO Statement EEO Race/Sex ...

Position Description: The Data Analyst - Mid supports CD&I by conducting quantitative and ... retirement plans, insurance programs, and education and training assistance. EEO Race/Sex ...

... vision insurance, 401K with company matching, flexible spending accounts, paid holidays, three ... The Data Analyst I will serve as a key analytical resource supporting federal grant administration ...

New

Data Science & Analysis Travel Required: Up to 10% Clearance Required: Ability to Obtain Public ... Medical, Rx, Dental & Vision Insurance * Personal and Family Sick Time & Company Paid Holidays

Senior Data Analyst

Washington, DC · On-site

$130K - $216K/yr

Data Science & Analysis Travel Required: Up to 10% Clearance Required: Ability to Obtain Public ... Medical, Rx, Dental & Vision Insurance * Personal and Family Sick Time & Company Paid Holidays

Dental insurance * Health insurance * Paid time off * Vision insurance iQuasar LLC is seeking a Business Data Analyst. We strive to provide the next generation of cutting-edge technologies. Our ...

Dental insurance * Health insurance * Paid time off * Vision insurance iQuasar LLC is seeking a Business Data Analyst. We strive to provide the next generation of cutting-edge technologies. Our ...

Senior Data Analyst

Vienna, VA · On-site

$86K - $108K/yr

Data Analyst #1043 In person position in Tysons Corner, VA 3 days per week Clearance: U.S ... insurance, and more * 401K matching with a 5% matching contribution * Regular team and company ...

Scientific Data Analyst

Arlington, VA · On-site +1

$110K - $115K/yr

Health insurance * Paid time off About this Role: In this role, you will provide computational ... Build and maintain data pipelines and analytical tools using Python, R, or equivalent languages

Data Analyst I

Washington, DC · On-site +1

$67K/yr

Data Analysts are instrumental members of BlueLabs Data Science and engagement teams. They gain ... Premier health insurance plan * 401K matching * Unlimited vacation leave * Paid sick, personal, and ...

Data Analyst - Operations

Washington, DC · On-site

$85K - $105K/yr

Data Analyst - Operations (Restaurant & Catering) The Data Analyst at CAVA provides analytical ... Insurance plus more! • 401k enrollment with CAVA contribution • Company-paid STD, LTD, Life and ...

next page

Showing results 1-20

Insurance Data Analyst information

See Washington salary details

$38.5K

$93.6K

$154K

How much do insurance data analyst jobs pay per year?

As of Jun 12, 2026, the average yearly pay for insurance data analyst in Washington is $93,598.00, according to ZipRecruiter salary data. Most workers in this role earn between $70,800.00 and $109,900.00 per year, depending on experience, location, and employer.

What does a data analyst do at an insurance company?

An insurance data analyst collects, analyzes, and interprets data related to policies, claims, and customer information to identify trends and support decision-making. They use tools like Excel, SQL, and data visualization software to create reports and improve underwriting, pricing, and risk assessment processes.

What is the difference between Insurance Data Analyst vs Actuary?

AspectInsurance Data AnalystActuary
Required CredentialsBachelor's degree in statistics, data science, or related field; often certifications like CAP or CPCUBachelor's degree in mathematics, statistics, or actuarial science; professional actuarial exams and credentials (e.g., ASA, FSA)
Work EnvironmentData analysis teams within insurance companies, focusing on data modeling and reportingActuarial departments, focusing on risk assessment, pricing, and reserving
Employer & Industry UsageInsurance companies, brokers, and consulting firmsInsurance companies, consulting firms, government agencies

While both roles involve working with insurance data, Insurance Data Analysts focus on data collection, analysis, and reporting, whereas Actuaries specialize in risk modeling and financial forecasting using advanced mathematics and actuarial exams. The roles often collaborate but serve different strategic functions within insurance organizations.

Do insurance companies need a data analyst?

Insurance companies rely on data analysts to interpret large datasets, assess risk, and support decision-making processes. Data analysts use tools like SQL and Excel, and often require knowledge of insurance industry metrics to improve underwriting, claims processing, and customer insights.

What are the key skills and qualifications needed to thrive as an Insurance Data Analyst, and why are they important?

To thrive as an Insurance Data Analyst, you need strong analytical skills, proficiency in statistics, and a background in mathematics, finance, or a related field, often supported by a relevant degree. Familiarity with data analysis tools such as SQL, Excel, Python, and data visualization platforms, as well as knowledge of insurance-specific databases and certifications like CPCU or AIDA, is highly valued. Attention to detail, problem-solving, and effective communication are crucial soft skills for interpreting complex data and presenting insights to stakeholders. These skills ensure accurate risk assessment, data-driven decision-making, and effective support of business objectives in the insurance industry.

How does an Insurance Data Analyst typically collaborate with underwriters and actuaries?

Insurance Data Analysts frequently work alongside underwriters and actuaries to provide data-driven insights that inform risk assessment and pricing decisions. Analysts gather, clean, and interpret large sets of policyholder and claims data, then present actionable findings through reports or dashboards. Regular meetings and joint projects ensure that underwriters and actuaries have the most accurate, up-to-date information to make decisions, and that data models align closely with business needs. Strong communication and teamwork skills are essential for success in this collaborative environment.

What does an Insurance Data Analyst do?

An Insurance Data Analyst is responsible for collecting, processing, and analyzing data related to insurance policies, claims, customer behavior, and market trends. They use statistical tools and software to identify patterns, assess risks, and provide actionable insights that help insurance companies make informed decisions. Their work supports pricing strategies, fraud detection, customer retention, and overall business performance. Insurance Data Analysts often collaborate with underwriters, actuaries, and business managers to optimize processes and improve profitability.

Is AI replacing data analysts?

AI is transforming the role of insurance data analysts by automating routine data processing and analysis tasks, allowing analysts to focus on more complex insights and strategic decision-making. While AI tools can handle large datasets efficiently, human expertise remains essential for interpreting results, ensuring data quality, and applying domain knowledge. The role continues to evolve with skills in data management, programming, and AI tools being increasingly valuable.

Is 40 too late for data science?

For an Insurance Data Analyst, age is not a barrier to entering data science. Many professionals transition into data roles later in their careers by acquiring relevant skills such as programming, statistics, and data visualization, often through online courses or certifications. Experience in insurance or related fields can also be valuable in this career shift.
What job categories do people searching Insurance Data Analyst jobs in Washington look for? The top searched job categories for Insurance Data Analyst jobs in Washington are:
What cities in Washington are hiring for Insurance Data Analyst jobs? Cities in Washington with the most Insurance Data Analyst job openings:
Infographic showing various Insurance Data Analyst job openings in Washington as of June 2026, with employment types broken down into 1% As Needed, and 99% Full Time. Highlights an 77% Physical, 7% Hybrid, and 16% Remote job distribution, with an average salary of $93,598 per year, or $45 per hour.

Full-time

Dental, Vision, Life, PTO

Posted 11 days ago


Job description

At CAVA we make itdeliciously simple to eat well and feel good every day.We are guided by a Mediterranean heritage that's beenperfecting how to eat and live for four thousand years. We prioritizeauthenticity, curiosity, and the pursuit of excellence in everything we do. Weare working towards somethingbig together.

Wefoster a culture built on five core values:

Generosity First, Always: We lead with kindness. Our best workhappens when we act in service of others.

Constant Curiosity: We are eager to learn, grow, andexplore beyond the obvious.

Act with Agility: We welcome change; it's the onlyconstant. We embrace, adjust, adapt.

Passion for Positivity: We greet each day with warmth andpossibility.

Collective Ambition: We have high aspirations that areachieved when we work together with a shared purpose.

DataAnalyst - Operations (Restaurant & Catering)

TheData Analyst at CAVA provides analytical support by preparing data,delivering insights, and creating dashboards that inform strategic reportingrequirements while supporting short-term ad-hoc needs. This role partnersclosely with Data Product Managers to ensure data accuracy, usability,and alignment with enterprise standards.

DataAnalysts play a critical role in transforming raw data into actionableinsights, enabling business teams to make informed decisions and optimizeperformance.

*Thisrole is part of the Data Product Team supporting our Restaurant & CateringOperation*

Success at CAVA: At CAVA, Individual Contributors focus on deliveringhigh-quality work, owning tasks, and contributing to team success. We look forteam members who take initiative, collaborate across teams, and stay curiousabout how their work supports broader goals.

What You'll Do:

Analytics& Reporting

Query,clean, and transform datasets to support reporting and analysis.

Validatedata accuracy for new metrics, dashboards, and analytical assets.

Supportad-hoc analytics requests and long-term strategic reporting needs.

Visualization& UX

Createinteractive dashboards and reports aligned with business needs and UX bestpractices.

Ensureconsistency in branding using enterprise visualization templates.

Optimizedashboards for scalability, usability, and performance.

Collaboration& Governance

Workclosely with Data Product Managers as domain SMEs to understand requirements.

Partnerwith Data Engineers to align on logic and data source integration.

Defineand implement data quality checks to ensure compliance with governancestandards.

Collaboratewith product owners to iterate designs and improve user experience.

The Qualifications:

Required

2-5 yearsof experience in data analysis or business intelligence.

Proficiencyin SQL (or python) and experience withdata querying and transformation.

Strongskills in data visualization tools (Tableau, Power BI, Looker).

Abilityto work with structured and semi-structured data.

Excellentattention to detail and problem-solving skills.

Preferred

Experiencewith Python or R for data manipulation and analysis.

Familiaritywith cloud-based data platforms (Snowflake, Databricks).

Understandingof data governance and quality assurance practices.

Physical Requirements:

Abilityto maintain stationary position to be able to operate a computer and otheroffice equipment

Mustbe able to identify, analyze and assess details

Forcertain positions, must be able to occasionally move or transport items up to50 pounds

Abilityto communicate with others and exchange information accurately and effectively

Constantlypositions self and move about to support ordinary restaurant or food productionsupport or office operations, as applicable

Abilityto work in a constant state of alertness and in a safe manner

What we offer:

Competitive salary, plus bonus andlong-term incentives*

Early Wage Access!

Unlimited PTO, paid parental leave, pluspaid opportunities to give back to the community

Health,Dental, Vision, Telemedicine, Pet Insurance plus more!

401kenrollment with CAVA contribution

Company-paidSTD, LTD, Life and AD&D coverage for salaried positions*

FreeCAVA food

Casualwork environment

The opportunity to be on the ground floorof a rapidly growing brand

  • All exempt and non exempt employees are eligible for benefits. Benefits are effective the 1st of the month following 30 days of service and you have until the day before the effective date to enroll. A new hire can enroll in our benefit program by selecting a link that is emailed directly to the new hire at their personal email address once hired.
  • Please note that visa sponsorship is not available.
  • The posting range is an all cash range.


*Indicates qualifyingeligible positions only

CAVA - Joining "A culture, not aconcept"


As an equal opportunityemployer, CAVA considers applicants for all positions without regard to race,color, sex, religion, national origin, disability, age, height, weight, maritalstatus, sexual orientation, familial status, genetic information or any othercharacteristic or protected classes as defined by federal, state, or local law.

California applicants: Please visitourNotice atCollectionandPrivacy Policyto learn about our informationpractices in the job application and employment context.