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Insurance Data Analytics Jobs in Virginia (NOW HIRING)

Arka Infotech Inc

Healthcare Data Architect

Richmond, VA

$63 - $81.25/hr

... Insurance enterprise data architecture for operational data stores, MDM data stores, integration data stores, data warehouses, analytics hubs and data marts. o Perform the detailed data analysis.

Boeing

Data Analytics Lead

Arlington, VA · On-site

Data Analytics Lead Company: The Boeing Company Boeing Enterprise Classified Security is seeking a ... health insurance, flexible spending accounts, health savings accounts, retirement savings plans ...

New

Boeing

Data Analytics Lead

Arlington, VA

Data Analytics Lead Company: The Boeing Company Boeing Enterprise Classified Security is seeking a ... health insurance, flexible spending accounts, health savings accounts, retirement savings plans ...

New

GDIT

Data Analytics Engineer

Chantilly, VA · On-site +1

$142K - $169K/yr

Yes As a Data Analytics Engineer, you will: * Evolve Extract, Transform, Load (ETL) pipelines of ... insurance are provided or available. We regularly review our Total Rewards package to ensure our ...

CGI Inc.

Data Analytics Developer, Senior

Arlington, VA · On-site

Data Analytics Developer, Senior Category: Project Management Main location: United States ... insurance options • Matching contributions through the 401(k) plan and the share purchase plan ...

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.

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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?

Insurance Data Analytics involves analyzing large datasets to assess risk, set premiums, detect fraud, and improve underwriting accuracy. Data analysts in this field use statistical tools and machine learning techniques to inform decision-making and optimize insurance operations.

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.

Is 40 too late for data science?

For an Insurance Data Analytics role, starting a career in data science at age 40 is feasible, as the field values skills, experience, and continuous learning over age. Many professionals transition into data analytics later in their careers by acquiring relevant skills such as programming, statistics, and tools like SQL or Python, often through online courses or certifications.

Is AI replacing data analysts?

Insurance Data Analysts use AI tools to enhance data processing and insights, but AI is not replacing the role entirely. Instead, it automates routine tasks, allowing analysts to focus on complex analysis, strategy, and decision-making that require human judgment and domain expertise.

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 are popular job titles related to Insurance Data Analytics jobs in Virginia? For Insurance Data Analytics jobs in Virginia, the most frequently searched job titles 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:
Insurance Data Analytics jobs near you
Infographic showing various Insurance Data Analytics job openings in Virginia as of June 2026, with employment types broken down into 92% Full Time, 1% Part Time, and 7% Contract. Highlights an 95% Physical, 1% Hybrid, and 4% Remote job distribution.

Healthcare Data Architect

Arka Infotech Inc

Richmond, VA

$63 - $81.25/hr

Contractor

Medical

Posted 27 days ago

Job description

Job Description
 Position:                      Healthcare Data Architect
Location:                     Richmond, VA
Length:                         3 months- w/option for extension
MUST HAVE Healthcare Payer experience from one of the following companies: Aetna, Cigna, Humana, Kaiser Permanente, United Healthcare, Anthem, BCBS, Horizon, Champus/Tricare, WellPoint, HCSC, TUFTS, Harvard Pilgrim, CDPHP, Oxford HP, Health first NY & NJ, Fallon, Americhoice, NHP. Possible Options- Healthcare consulting vertical experience.- Accenture, Slalom, PWC, KPMG, Cerner, etc.
Healthcare insurance data knowledge specifically in Coordination of Benefits, Subrogration and Medicare Secondary Payer
Requirements:
1.     Must have 5-7yrs experience developing Healthcare Insurance enterprise data architecture for operational data stores, MDM data stores, integration data stores, data warehouses, analytics hubs and data marts.
o    Perform the detailed data analysis. Verify natural keys through SQL queries against the source databases.
o    Develop data modeling standards.
o    Develop the conceptual data model(s) & logical data model(s).
o    Proficient with one or more leading data modeling tools such as Erwin, Enterprise
2.     Must have previous experience developing Healthcare Insurance data analysis including: { This person will need to identify technical gaps and document opportunities for process automation.}
o    Participating in technical interviews with Technical Analysts and End Users; IT resources across different job functions
o    Leading identification of current state technical landscape and technical requirements
o    Working with client enterprise architects as required to validate current standards
o    Applying appropriate filters to analysis (best practices, industry trends and Vendor intellectual property)
o    Leading the articulation of the future state technical environment needs as well as the technical gap analysis
o    Providing architectural recommendations to align business and claim recovery strategy with the future state program
o    Providing input into the vision and roadmap development process
3.     Assist with cost containment systems, applications, data stores and data flows.
4.     Must be able to interface effectively with all levels of the organization.
5.     Must have excellent interpersonal skills and be strong and effective communicator
6.     Good writing skills and ability to multi task in the support of this


Qualifications
BS Degree


Additional Information

All your information will be kept confidential according to EEO guidelines.

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