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Insurance Data Analytics Jobs in Virginia (NOW HIRING)

BRMi

Data Analytics Engineer - Pega CDH

Vienna, VA · On-site

$114K - $138K/yr

Comprehensive Medical, Dental, and Vision Insurance Employer-Paid Life Insurance Employer-Paid ... Standardize data retrieval and analysis processes across the team. * Map customer interactions to ...

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 ...

Genworth Financial, Inc.

Lead Data Architect

Richmond, VA · On-site

$120 - $195/hr

Collaborate with data modelers on integrating their scope into the enterprise insurance data model. * Participate in meetings with business stakeholders to understand analytical or operational data ...

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.

Insilico Logix

Data Analyst

Herndon, VA

$60K - $70K/yr

... Insurance - Immigration Support for OPT students and visa holders - Skills Enhancement Data Analytics Training Program is provided for selected candidates ** OPT students may also apply If you are ...

Tenacious Solutions

Data Analyst

Arlington, VA

$80K - $110K/yr

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 ...

Kearney & Company

Data Analyst

Alexandria, VA · On-site

$62K - $85K/yr

Responsible for performing procedures such as data analytics, robotics, and machine learning ... Legal Insurance and Pet Insurance * Employee Assistance Program, fitness and wellness benefits, and ...

Sparks Group

HR Data Analyst (Contract)

Herndon, VA · Hybrid

$36 - $40/hr

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.

Kearney & Company

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 ...

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Insurance Data Analytics information

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 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.

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.

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.

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 August 2026, with employment types broken down into 1% As Needed, 68% Full Time, 27% Part Time, and 4% Contract. Highlights an 89% Physical, 1% Hybrid, and 10% Remote job distribution.

Data Analytics Engineer - Pega CDH

BRMi

Vienna, VA • On-site

$114K - $138K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 7 days ago

Job description

Overview

BRMi is seeking an experienced Data Analytics Engineer to support analytics and modeling initiatives within a Pega Customer Decision Hub (CDH) environment.

This role will focus on building reusable data queries, scripts, and Databricks notebooks that allow teams to analyze customer interactions, model performance, engagement, and business outcomes.

Benefits: Comprehensive Medical, Dental, and Vision Insurance Employer-Paid Life Insurance Employer-Paid Short-Term and Long-Term Disability Insurance 401(k)  Paid Time Off (PTO) that includes Vacation Leave, Sick Leave, and 11 Paid Holidays Educational Assistance

Salary: 95k-112k

**Hybrid in Vienna, VA**

**An In Person interview will be required for this role**

Click here to learn about BRMi's culture.

Click here to see BRMi's Glassdoor reviews

Responsibilities
  • Develop SQL, Python, and PySpark queries and scripts to analyze customer and interaction data.
  • Build reusable Databricks notebooks for broader analytics teams.
  • Replicate Pega CDH customer contextual data in external analytics environments.
  • Standardize data retrieval and analysis processes across the team.
  • Map customer interactions to business outcomes such as account openings and engagement.
  • Analyze model and predictor performance.
  • Connect member profile data to customer interactions for deeper analysis.
  • Perform distribution, arbitration, and channel engagement analysis.
  • Establish baseline KPIs for new modeling capabilities.
  • Develop back-testing and monitoring approaches for model changes.
  • Monitor model performance and identify potential performance issues.
  • Analyze propensity scores and identify abnormal or low-performing results.
  • Evaluate whether actions and recommendations are achieving intended business objectives.
  • Monitor eligible audiences for different actions and treatments.
  • Develop reporting and monitoring that can be easily shared with business and analytics leadership.
  • Perform other duties as assigned
Qualifications
  • Strong Databricks experience.
  • Strong Python and PySpark skills.
  • Advanced SQL skills.
  • Experience building data queries, scripts, and reusable analytics notebooks.
  • Experience analyzing large customer or transactional datasets.
  • Experience with model performance analysis and KPI monitoring.
  • Ability to translate analytical questions into repeatable data solutions.
  • Strong analytical and problem-solving skills.

Desired:

  • Pega Customer Decision Hub (CDH) experience.
  • Experience with customer decisioning or next-best-action platforms.
  • Experience analyzing propensity models or predictive models.
  • Experience with customer interaction and engagement analytics.
  • Experience supporting marketing, customer analytics, or decision science teams.

** BRMi will not sponsor applicants for work visas for this position.**

**This is a W2 opportunity only**

EOE/Minorities/Females/Vet/Disabled 

We are an equal opportunity employer that values diversity and commitment at all levels. All individuals, regardless of personal characteristics, are encouraged to apply. Employment policies and decisions on employment and promotion are based on merit, qualifications, performance, and business needs. The decisions and criteria governing the employment relationship with all employees are made in a nondiscriminatory manner, without regard to race, religion, color, national origin, sex, age, marital status, physical or mental disability, medical condition, veteran status, or any other factor determined to be unlawful by federal, state, or local statutes. 

Employment Type: OTHER
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About BRMi

Sourced by ZipRecruiter

Industry

It services

Company size

51 - 200 Employees

Headquarters location

Silver Spring, MD, US

Year founded

2004

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