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Senior Insurance Data Analytics Jobs in Washington

Senior Manager, Data Analytics 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 ...

Senior Data Analyst

Quantico, VA

$91.10K - $114.90K/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 ...

Highspring is a company specializing in data and analytics solutions, seeking a Senior Manager to lead their Data & Analytics practice. The role involves designing and building modern data warehouses ...

Senior Data Analyst

Alexandria, VA · On-site

$92K - $116.10K/yr

Position Summary ANSER is seeking a Senior Data Analyst to support the Department of Defense (DoD ... Scope and implement analytics dashboard enhancements incorporating persona-based user input.

The Team - Data & Analytics Our Data & Analytics practice is comprised of functional and technical ... You'll be in meetings with CIOs, CISOs, and senior partners. You need the confidence to contribute ...

The Team - Data & Analytics Our Data & Analytics practice is comprised of functional and technical ... You'll be in meetings with CIOs, CISOs, and senior partners. You need the confidence to contribute ...

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Senior Insurance Data Analytics information

What are the key skills and qualifications needed to thrive as a Senior Insurance Data Analytics professional, and why are they important?

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 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 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.

How much does a senior data analyst make at American Family Insurance?

A senior data analyst at American Family Insurance typically earns between $70,000 and $100,000 annually, depending on experience, location, and skills. Compensation may also include bonuses and benefits related to data analysis tools and insurance industry knowledge.

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 the most commonly searched types of Insurance Data Analytics jobs in Washington? The most popular types of Insurance Data Analytics jobs in Washington are:
What are popular job titles related to Senior Insurance Data Analytics jobs in Washington? For Senior Insurance Data Analytics jobs in Washington, the most frequently searched job titles are:
What job categories do people searching Senior Insurance Data Analytics jobs in Washington look for? The top searched job categories for Senior Insurance Data Analytics jobs in Washington are:
What cities in Washington are hiring for Senior Insurance Data Analytics jobs? Cities in Washington with the most Senior Insurance Data Analytics job openings:
Infographic showing various Senior Insurance Data Analytics job openings in Washington as of May 2026, with employment types broken down into 1% As Needed, 59% Full Time, 34% Part Time, and 6% Contract. Highlights an 91% Physical, 5% Hybrid, and 4% Remote job distribution.
Senior Manager, Data Analytics

Senior Manager, Data Analytics

Capital One

Mclean, VA • On-site

Full-time

Posted 28 days ago


Capital One rating

7.7

Company rating: 7.7 out of 10

Based on 134 frontline employees who took The Breakroom Quiz

74th of 141 rated banks


Job description

Senior Manager, Data Analytics
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 Senior Manager, you will partner cross-functionally with teams throughout the company to validate business impacting analytical tools. You will enhance your technical and analytical skills, while also working with leaders to influence business strategies. With a network of hundreds of Data Analysts, Quants, and Data Scientists, challenging projects with an eye on the bottom line and a focus on work/life balance, we've created a dynamic environment with plenty of room for you to learn, grow, and realize your full potential.
On a given day you will be:
  • Refining a new Enterprise-wide analytical tools validation framework
  • Planning and executing validation projects
  • Assessing the quality and risk of analytical tool methodologies across Capital One, and the nature of tools usage within those processes
  • Understanding technical issues in analytical tools and assessing tools risks and opportunities
  • Independently researching, identifying, and prototyping industry best practices for emerging analytical tools
  • Communicating results clearly and concisely both verbally and through written communications via validation reports and presentations
  • Leveraging education, colleagues and training opportunities to develop solutions to business problems
  • Coaching and mentoring junior staff

As a Senior Data Analytics Manager focused on Product Analytics, you will lead analysts, partner cross-functionally, and set data strategy for a wide range of innovative products including consumer facing experiences, platform experiences, and modernization efforts. This involves remediating DA solutions, driving controls, designing data products, and enabling strategic journeys. You'll own the team's roadmap, foster analytical excellence, and ensure data product trust and reliability. This is a highly collaborative role in which you will problem solve alongside partners in Product, Business Analysts in Product Analytics, Engineering, and others.
An ideal candidate will possess strong problem solving and conceptual thinking abilities in addition to communication, interpersonal and leadership skills. This position will be in a fast-paced and entrepreneurial environment where you will be handling multiple concurrent projects while working independently and in teams.
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 7 years of experience performing data analytics, or currently has, or is in the process of obtaining a Master's Degree plus at least 5 years of experience performing data analytics with an expectation that required degree will be obtained on or before the scheduled start date.
  • At least 5 years of experience performing professional data analysis work
  • At least 5 years of experience leading and developing with open source data technologies
  • At least 2 years of experience managing people

Preferred Qualifications:
  • Master's Degree or PhD in a Finance, Economics, Statistics, Mathematics, Industrial Engineering, Operations Research, or a related field
  • At least 7 years of experience in statistical or econometrics hands-on work
  • At least 5 years of experience manipulating and performing analysis with large data sets
  • At least 5 years of experience in financial services industry
  • At least 5 years of experience in developing statistical or econometric models
  • At least 5 years of experience in validating statistical or econometric models
  • At least 2 years of experience with data governance
  • At least 2 years of experience with predictive analytics

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: $200,700 - $229,100 for Sr. Data Analysis Manager
Richmond, VA: $182,500 - $208,300 for Sr. Data Analysis Manager
New York, NY: $219,000 - $249,900 for Sr. Data Analysis Manager
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 the Capital 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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