1

Insurance Data Analyst Jobs in Washington (NOW HIRING)

Industry experience in government, healthcare, finance, or insurance is a plus. Responsibilities * Collect, analyze, and interpret data from multiple sources. * Develop and maintain dashboards ...

New

Health, dental, and vision insurance * 401K * "Discretionary" PTO * Professional development ... The Data Analyst will help transform raw data into usable datasets, dashboards, reports, and visual ...

New

Data Analyst

Washington, DC

$48.07 - $52.88/hr

The Quantitative Data Analyst helps with the interpretation, implementation, analysis, and ... paid holidays, short-term disability insurance, skills training, employee referral bonus ...

Data Analyst

Washington, DC · On-site

$48.07 - $52.88/hr

The Quantitative Data Analyst helps with the interpretation, implementation, analysis, and ... paid holidays, short-term disability insurance, skills training, employee referral bonus ...

Data Analyst

Arlington, VA · Hybrid

$100K - $124K/yr

SkyePoint Decisions is seeking a Data Analyst to support the Diplomatic Security Cyber Mission ... Several insurance options including HMO and High Deductible plans with Health Savings Accounts ...

Perform data analysis to identify trends, patterns, and correlations. C. Create data models ... Life Insurance * Accidental Death and Dismemberment Insurance * Disability: Short-term and ...

Comprehensive insurance options . Matching contributions through the 401(k) plan and the share ... Data Analysis * Problem Solving * Python * SQL * Tableau What you can expect from us: Together, as ...

DOE Q or DOD TS (may require SCI) OVERVIEW The Data Analyst will develop and maintain analytic ... Insurance (Basic Life and AD&D, Dependent, Short-term, Long-term) * Tuition Assistance Find out ...

BryceTech is seeking a seeking an experienced Analyst to support data collection, analysis, and ... life & disability insurance policies, 401(k) plan with company match, and an educational ...

Perform data analysis to identify trends, patterns, and correlations. C. Create data models ... Life Insurance * Accidental Death and Dismemberment Insurance * Disability: Short-term and ...

BryceTech is seeking a seeking an experienced Analyst to support data collection, analysis, and ... life & disability insurance policies, 401(k) plan with company match, and an educational ...

Data Analyst

Washington, DC · On-site

$100K - $150K/yr

DOE Q or DOD TS (may require SCI) OVERVIEW The Data Analyst will develop and maintain analytic ... Insurance (Basic Life and AD&D, Dependent, Short-term, Long-term) * Tuition Assistance Find out ...

Data Analyst

Herndon, VA · On-site

$60K - $70K/yr

... analysis. - Administer quality control and process improvement activities, including data entry ... Insurance - Immigration Support for OPT students and visa holders - Skills Enhancement Data ...

BryceTech is seeking a seeking an experienced Analyst to support data collection, analysis, and ... life & disability insurance policies, 401(k) plan with company match, and an educational ...

Data Analyst

Washington, DC · On-site

$130 - $150K/hr

Seeking a Data Analyst to support the CIO Division. This position serves as a data analyst ... Health Insurance: Medical, dental, and vision plans. * Retirement Plans: 401(k) with company match.

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 ...

Data Analyst Location: Hybrid Work Model Reporting to Vienna, VA Pay Rate: Open to Both C2C and W2 ... insurance, voluntary plans, as well as participation in a 401(k) plan. System One is an Equal ...

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.

Other

Posted yesterday


Job description

Job Description

We are seeking a motivated Data Analyst with 3+ years of experience in data analysis, reporting, and business intelligence. The ideal candidate will be responsible for transforming data into actionable insights, developing reports and dashboards, and supporting data-driven decision-making across the organization.

Required Skills & Qualifications
  • 3+ years of experience as a Data Analyst or in a similar analytical role.
  • Strong proficiency in SQL for data extraction, analysis, and reporting.
  • Experience with data visualization tools such as Power BI, Tableau, or Looker.
  • Strong knowledge of Microsoft Excel, including Pivot Tables, VLOOKUP/XLOOKUP, and advanced formulas.
  • Experience analyzing large datasets and identifying trends, patterns, and business insights.
  • Knowledge of data cleansing, validation, and quality assurance processes.
  • Familiarity with relational databases such as SQL Server, Oracle, PostgreSQL, or MySQL.
  • Basic experience with Python or R for data analysis and automation.
  • Understanding of data modeling concepts and reporting best practices.
  • Strong analytical, problem-solving, and critical-thinking skills.
  • Excellent communication skills with the ability to present findings to both technical and non-technical audiences.
Preferred Qualifications
  • Experience with ETL processes and data warehousing concepts.
  • Knowledge of cloud platforms such as AWS, Azure, or Google Cloud Platform.
  • Experience working with business intelligence and reporting solutions.
  • Familiarity with statistical analysis and predictive analytics.
  • Exposure to Agile/Scrum methodologies.
  • Industry experience in government, healthcare, finance, or insurance is a plus.
Responsibilities
  • Collect, analyze, and interpret data from multiple sources.
  • Develop and maintain dashboards, reports, and visualizations to support business objectives.
  • Identify trends, anomalies, and opportunities through data analysis.
  • Work closely with business stakeholders to understand reporting requirements.
  • Ensure data accuracy, integrity, and consistency across reporting platforms.
  • Create ad hoc reports and perform data validation as needed.
  • Support data-driven decision-making by providing actionable insights and recommendations.
  • Collaborate with Data Engineers, Business Analysts, and leadership teams on data initiatives.
  • Document data definitions, reporting logic, and business metrics.

Location: Maryland (Hybrid)
Duration: Long-Term Contract
Experience: 3+ Years
Visa: GC-EAD Only