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Insurance Data Analytics Jobs in Virginia (NOW HIRING)

ONE (1) year+ experience in financial management and data analytics What Would Be Nice To Have ... Medical, Rx, Dental & Vision Insurance * Personal and Family Sick Time & Company Paid Holidays

ONE (1) year+ experience in financial management and data analytics What Would Be Nice To Have ... Medical, Rx, Dental & Vision Insurance * Personal and Family Sick Time & Company Paid Holidays

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

Data Analyst - Mid

Quantico, VA ยท 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 ...

Develop forecasts and predictive analytics to support decision-making, strategic planning, and ... Vision Insurance * Retirement Plan with Company Match * Paid Time Off * Paid Volunteer Time

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Insurance Data Analytics information

What are the key skills and qualifications needed to thrive in the Insurance Data Analytics position, and why are they important?

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 collects, processes, and analyzes insurance data to identify trends, assess risks, and support decision-making. They use tools like Excel, SQL, and data visualization software to create reports and models that improve underwriting, claims management, and pricing strategies.

How much does an insurance analyst make?

The average salary for an insurance analyst is around $65,000 to $85,000 per year, depending on experience, location, and industry. Entry-level roles typically start lower, while experienced analysts with specialized skills or certifications can earn higher salaries. Strong analytical skills and proficiency with data tools like Excel or SQL are often required.

Will AI replace a data analyst?

AI can automate routine data processing and analysis tasks, but the role of a data analyst, including those in insurance data analytics, involves interpreting complex data, providing insights, and making strategic decisions that require human judgment. Therefore, AI is more likely to augment rather than fully replace data analysts, who also need skills in data visualization, domain knowledge, and communication. Continuous learning and proficiency with analytics tools remain important for the role.

What is an Insurance Data Analytics job?

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 Virginia? The most popular types of Insurance Data Analytics jobs in Virginia are:
What job categories do people searching Insurance Data Analytics jobs in Virginia look for? The top searched job categories for Insurance Data Analytics jobs in Virginia are:
Infographic showing various Insurance Data Analytics job openings in Virginia as of July 2026, with employment types broken down into 1% Internship, 93% Full Time, 3% Part Time, and 3% Contract. Highlights an 79% Physical, 5% Hybrid, and 16% Remote job distribution.
Senior Data Analyst with Security Clearance

Senior Data Analyst with Security Clearance

Data Intelligence LLC.

Quantico, VA โ€ข On-site

$92K - $116K/yr

Other

Medical, Dental, Vision, Retirement, PTO

Posted 18 days ago


Job description

Data Intelligence is seeking a highly skilled Senior Data Analyst to support the Naval Criminal Investigative Services IT at NCIS Headquarters in Quantico, VA. This role focuses on advanced data analytics, statistical modeling, and integration of data-driven solutions to enhance investigative and intelligence capabilities. The ideal candidate will bring deep expertise in data science methodologies, software integration, and scalable analytics architectures. Key Responsibilities * Develop, implement, and maintain advanced data science and analytics solutions * Design and execute data analysis workflows using statistical and mathematical modeling techniques * Build and manage ETL pipelines for ingesting, transforming, and delivering structured and unstructured data * Develop and integrate APIs and data services to support enterprise analytics platforms * Perform software integration and testing, including development and execution of test plans and scripts * Utilize Python, R, and other scripting languages for data analysis and automation * Apply data mining, graph algorithms, and statistical techniques to support mission objectives * Work with SQL and NoSQL databases, search indexes, and web application servers * Leverage tools such as Jupyter Notebook, Pandas, NumPy, Requests, and related data science libraries * Create data visualizations and dashboards using spreadsheets and other tools * Collaborate with cross-functional teams to deliver scalable and secure analytics solutions Required Qualifications * Master's degree in Data Science, Computer Science, Engineering, Mathematics, or related field * Minimum 10 years of professional experience in data science or advanced analytics * Experience with software integration or testing, including analyzing and implementing test plans and scripts * Strong experience with scripting languages such as Python and R * Experience with data science, data mining, statistics, and graph algorithms * Proficiency with SQL, NoSQL, API development, ETL pipelines, web application servers, and search indexing technologies * Experience using tools and frameworks such as: * Python, Jupyter Notebook, Pandas, NumPy, Requests * Strong foundation in complex mathematical and statistical concepts * Experience applying statistical analysis and operations research methodologies * Proficiency in data manipulation and visualization using spreadsheets and related tools Certifications (Preferred) One or more relevant industry certifications, such as: * CompTIA Cloud Essentials, CompTIA A+, CompTIA Security+ * Microsoft Technical Associate (MTA), MCPD, MCSD, MCSE * Certificate of Cloud Security Knowledge (CCSK) * EMC Data Science Associate (EMCDSA) * Cloudera Certified Data Scientist (CCDH) / Certified Cloud Professional (CCP) * Certified Apache Hadoop Developer (HCAHD) / Cloudera Certified Administrator for Apache Hadoop (CCAH) * Certified Information Systems Security Professional (CISSP) About Data Intelligence, LLC: Data Intelligence, LLC (DI) is a small business that provides Information Technology System Development (Agile, DevSecOps, Cloud Platform support) Cybersecurity (RMF, Security Engineering, Cross Domain Solutions), Tactical Data Link Standards Development and Testing, and Logistics/Warehousing services to U.S. federal clients both CONUS and OCONUS. DI consistently demonstrates exceptional customer service, maintains an employee-centric culture, and delivers hands-on technical expertise to help our clients achieve their mission. Since 2005, DI has successfully provided IT Systems Engineering, Software Development, Cybersecurity, and supporting solutions and services to customers that include the Department of Defense, Intelligence, and Federal Civilian clients. Current clients include the US Navy, Air Force, Army, Marine Corps, Coast Guard, National Geospatial-Intelligence Agency, Defense Logistics Agency, and The Department of Homeland Security. DI is headquartered in Marlton, New Jersey, with satellite offices in California, Maryland, Ohio, Pennsylvania, Virginia, and Washington, D.C. Why you should join us: Data Intelligence offers competitive salaries, comprehensive benefits, a team-oriented environment, and opportunities for advancement. Our excellent employee retention record reflects our employee focus. We work with Veteran's organization to proactively hire those who have served our country. We offer medical, dental and vision insurance, 401k, PTO and 11 paid holidays.