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Senior Insurance Data Analytics Jobs in Washington

Airbus

Data Analytics Specialist

Dulles, VA · On-site

Health insurance, well-being programs HOW YOU WILL CONTRIBUTE TO THE TEAM Regional Adoption ... Data Analysis and Insight: 30% * Conduct in-depth data analysis and experimentation to uncover ...

Monex USA

Senior Data Analyst

Washington, DC · On-site

$70 - $100/hr

Business & Data Analytics Manager Direct Reports: None Typical Work Hours: 8:30 a.m. to 5:00 p.m ... Vision insurance * Commuter benefits * 401(k) and employer match * 16 days of PTO * Disability ...

Monex USA Inc.

Senior Data Analyst

Washington, DC · On-site

$70 - $100/hr

Business & Data Analytics Manager Direct Reports: None Typical Work Hours: 8:30 a.m. to 5:00 p.m ... Vision insurance * Commuter benefits * 401(k)and employer match * 16 days of PTO * Disability ...

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Senior Insurance Data Analytics information

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 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 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 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 cities in Washington are hiring for Senior Insurance Data Analytics jobs?

Cities in Washington with the most Senior Insurance Data Analytics job openings:

Senior Insurance Data Analytics jobs near you

Data Analytics Team Lead - 0095

Telesolv Consulting

Washington, DC

Full-time

Re-posted 2 days ago

Job description

Description
TeleSolv Consulting has an immediate opportunity to work with the Federal Government as a Mid-Sr. level Data Analytics Team Lead with prior Federal Government Agency experience for a client of ours.
This person will be required to work on-site at the client's Washington D.C. location.

In this role, the ideal candidate will lead data analytics initiatives to support performance management and decision-making for the client's programs.

Responsibilities:
  • Develop and implement advanced data analytics solutions.
  • Integrate data from multiple systems (SAM, FSMS, SharePoint).
  • Create dashboards and performance metrics for leadership.
  • Ensure data accuracy and compliance with federal standards.
  • Provide insights to improve operational efficiency.

Qualifications:
  • Bachelor’s degree in Data Science, Statistics, or related field.
  • PMP or equivalent certification preferred.
  • Experience with Power Apps, Power BI, SharePoint, Tableau, and similar tools.
  • Minimum 8 years of experience within DHS or DoD.
  • Minimum 8 years of Data Analytics experience. This experience may overlap with DHS/DOD experience.
  • Strong understanding of federal data compliance requirements.
  • Excellent analytical and communication skills.