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Senior Insurance Data Analytics Jobs in Virginia

Senior Business Data Analyst

Henrico, VA · Hybrid

$79K - $100K/yr

This role is ideal for an experienced analytics professional who enjoys partnering with business ... life insurance, short-term disability, additional voluntary benefits, EAP program, commuter ...

Senior Business Data Analyst

Henrico, VA · Hybrid

$79K - $100K/yr

This role is ideal for an experienced analytics professional who enjoys partnering with business ... life insurance, short-term disability, additional voluntary benefits, EAP program, commuter ...

Senior Data Analyst

Mclean, VA · On-site

$87K - $110K/yr

Role Summary We are seeking a Senior Data Analytics Contractor to deliver end-to-end analytics solutions across modern data platforms. You will build and optimize datasets in SQL Server, Snowflake ...

Senior Data Analyst

Arlington, VA · On-site +1

$98K - $124K/yr

Overview The Senior Data Analyst supports the Veterans Health Administration Specialty Care Program ... Bachelor's Degree in Data Analytics, Data Science, Healthcare Informatics, Health Information ...

Senior Data Analyst

Mclean, VA · Hybrid

$86K - $109K/yr

Use analytics tools to build dashboards, key risk indicators (KRIs), and trend analyses that ... Medical, Rx, Dental & Vision Insurance * Personal and Family Sick Time & Company Paid Holidays

New

Senior Data Analyst

Mclean, VA · On-site

$86K - $109K/yr

Use analytics tools to build dashboards, key risk indicators (KRIs), and trend analyses that ... Medical, Rx, Dental & Vision Insurance * Personal and Family Sick Time & Company Paid Holidays

New

Data Scientist Senior

Fort Belvoir, VA · On-site

$140K - $173K/yr

We are seeking a Data Scientist - Senior to lead advanced data analytics, analytic model development, data visualization, risk scoring, anomaly detection, and mission-focused decision support. This ...

Sr Data Analyst

Reston, VA · Hybrid

$89K - $112K/yr

Utilize Power BI and other advanced analytics tools to deliver comprehensive and high-impact ... We offer a comprehensive package of benefits, including medical/dental/vision insurance, and 401(k).

New

Overview Senior Data Management Analyst JOB LOCATION: Dahlgren, Virginia JOB STATUS: Full Time ... Bachelor's or Master's Degree in Computer Science, Data Analytics, Information Systems, or similar ...

Overview Senior Data Management Analyst JOB LOCATION: Dahlgren, Virginia JOB STATUS: Full Time ... Bachelor's or Master's Degree in Computer Science, Data Analytics, Information Systems, or similar ...

Senior Data Analyst

Arlington, VA · On-site

$120K - $140K/yr

Apply predictive analytics to evaluate future business outcomes and support long-term planning ... In addition to offering a competitive salary we also offer: * health insurance * dental insurance ...

Showing results 41-60

Senior Insurance Data Analytics information

What are the key skills and qualifications needed to thrive as a senior insurance data analytics professional?

To thrive as a Senior Insurance Data Analytics professional, you need a strong background in statistics, data analysis, and domain knowledge of insurance, often supported by a degree in mathematics, statistics, or a related field. Expertise in data analytics tools such as SQL, Python, R, and experience with business intelligence platforms like Tableau or Power BI are typically required. Strong problem-solving skills, attention to detail, and the ability to communicate complex insights clearly set top performers apart in this role. These skills are crucial for driving data-driven decision-making, identifying business opportunities, and improving risk assessment and operational efficiency within insurance organizations.

What does a senior insurance data analytics professional do?

A Senior Insurance Data Analytics professional analyzes large datasets to help insurance companies make informed decisions about risk, pricing, claims, and customer behavior. They use statistical methods, data modeling, and business intelligence tools to uncover trends and insights that can improve operational efficiency and profitability. In addition to interpreting complex data, they often collaborate with other departments to develop data-driven strategies and may oversee or mentor junior analysts within the team.

What is the difference between Senior Insurance Data Analytics vs Insurance Data Analyst?

AspectSenior Insurance Data AnalyticsInsurance Data Analyst
Required CredentialsBachelor's or Master's in Data Science, Statistics, or related field; often with experience in insurance analyticsBachelor's in related field; entry to mid-level experience
Work EnvironmentSenior roles often involve leadership, project management, and strategic planning within insurance companiesFocus on data collection, analysis, and reporting under supervision or team guidance
Employer & Industry UsageUsed across insurance firms, especially in analytics, underwriting, and actuarial departmentsCommonly employed in insurance companies, focusing on data processing and reporting

Senior Insurance Data Analytics professionals typically have more experience, advanced skills, and leadership responsibilities compared to Insurance Data Analysts. While both roles require strong analytical skills and familiarity with insurance data, seniors often oversee projects, develop strategies, and mentor junior staff, whereas analysts focus on data analysis and reporting tasks.

What are some common challenges faced by senior insurance data analytics professionals when working with large and complex datasets?

Senior Insurance Data Analytics professionals often encounter challenges such as integrating data from multiple legacy systems, ensuring data quality and accuracy, and managing sensitive information in compliance with regulations. Additionally, translating complex analytical findings into actionable insights for non-technical stakeholders can be demanding. Overcoming these challenges requires strong technical skills, clear communication, and close collaboration with IT, underwriting, and actuarial teams.
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 cities in Virginia are hiring for Senior Insurance Data Analytics jobs? Cities in Virginia with the most Senior Insurance Data Analytics job openings:

Senior Data Analyst - Analytics & Transformation

Capital One

Mclean, VA • On-site

$86K - $109K/yr

Full-time

Posted 7 days ago


Capital One rating

7.7

Company rating: 7.7 out of 10

Based on 146 frontline employees who took The Breakroom Quiz

93rd of 170 rated banks


Job description

Senior Data Analyst - Analytics & Transformation

At Capital One, data is at the center of everything we do. When we launched as a startup we disrupted the credit card industry by individually personalizing every credit card offer using statistical modeling and the relational database, cutting edge technology in 1988! Fast-forward a few years, and this little innovation and our passion for data has skyrocketed us to a Fortune 200 company and a leader in the world of data-driven decision-making.

As a Data Analyst at Capital One you will leverage analytic and technical skills to innovate, build, and maintain well-managed data solutions and capabilities to tackle business problems. The Enterprise Data team is focused on maximizing the value of our data ecosystem and enabling real-time, intelligent experiences built on a scalable, future ready foundation. We are a highly collaborative, cross-functional team working across Product, Technology, Design, Risk, and other partners to build a modern enterprise data ecosystem.
We are looking for an exceptional and innovative Senior Data Analystto solve complex business and product challenges across our Enterprise Data Product teams. You will lead Product Analytics to measure and improve the performance and health of our Products and Platforms, transforming complex data into actionable, AI-enabled insights that shape product strategy and drive better decisions. If you are a strategic thinker who thrives on solving complex problems and using Data and AI to influence product development, this is an opportunity to make a meaningful impact.

On any given day you will be challenged by three types of work - Innovation, Business Intelligence and Data Management:

Innovation

  • Use Open Source/Digital technologies to mine complex, voluminous, and different varieties of data sources and platforms

  • Build well-managed data solutions, tools, and capabilities to enable self-service frameworks for data consumers

  • Demonstrate ability to explore and quickly grasp new technologies to progress varied initiatives

Business Intelligence

  • Partner with the business to provide consultancy and translate the business needs to design and develop tools, techniques, metrics, and dashboards for insights and data visualization

  • Drive analysis that provides meaningful insights on business strategies

Data Management

  • Drive an understanding and adherence to the principles of data quality management including metadata, lineage, and business definitions

  • Work collaboratively with appropriate Tech teams to manage security mechanisms and data access governance

  • Build and execute tools to monitor and report on data quality

Our ideal candidate will have:

  • Degree specialized in a Science, Technology, Engineering, Mathematics discipline

  • Scripting experience in (Python, R, Spark, and SQL)

  • Strong desire and experience with data in various forms (data warehouses/SQL, unstructured data)

  • Experience utilizing and developing within Snowflake services

Basic Qualifications:

  • Currently has, or is in the process of obtaining a Bachelor's Degree in quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science or a related quantitative field) plus at least 2 years of experience performing data analytics, or currently has, or is in the process of obtaining a Master's Degree with an expectation that required degree will be obtained on or before the scheduled start date.

  • At least 1 year of experience working with at least one scripting language

  • At least 1 year of experience utilizing business intelligence visualization tool

  • At least 1 year of experience querying, analyzing and working with data languages and platforms

Preferred Qualifications:

  • Master's Degree in a Science, Technology, Engineering, Mathematics discipline

  • At least 2 years of experience coding in Python, R, Spark, or SQL

  • At least 2 years of experience working within process management and improvement methodologies - Agile, Lean, Six Sigma, etc.

  • At least 1 year of experience utilizing and developing within AWS services

  • At least 1 year of experience working with and demonstrating knowledge of data governance, data quality management concepts and data quality tools (i.e. Informatica DQ)

Capital One will consider sponsoring a new qualified applicant for employment authorization for this position.

The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked.

McLean, VA: $111,200 - $126,900 for Sr. Data Analyst











Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter.

This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.

Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at theCapital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.

This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.

If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.

For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com

Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site.

Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).


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