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Senior Insurance Data Analytics Jobs in Washington

Gritter Francona

Senior Data Analyst

Washington, DC · On-site

$97K - $122K/yr

... to provide advanced data analytics and project management support for federal healthcare ... Life Insurance (Basic, Voluntary & AD&D) * Paid Time Off (Vacation, Sick & Public Holidays) * Short ...

Guidehouse

Data Analytics Consultant

Washington, DC · On-site

$113K - $188K/yr

This role transforms complex datasets into clear, actionable insights for senior leaders ... Medical, Rx, Dental & Vision Insurance * Personal and Family Sick Time & Company Paid Holidays

Data Intelligence LLC

Senior Data Analyst

Quantico, VA · On-site

$100 - $130/hr

This role focuses on advanced data analytics, statistical modeling, and integration of ... We offer medical, dental and vision insurance, 401k, PTO and 11 paid holidays. #J-18808-Ljbffr

Guidehouse

Data Analytics Consultant

Washington, DC

$113K - $188K/yr

This role transforms complex datasets into clear, actionable insights for senior leaders ... Medical, Rx, Dental & Vision Insurance * Personal and Family Sick Time & Company Paid Holidays

Amyx, Inc.

Lead Analyst- Data Analytics

Washington, DC · On-site +1

... a senior data analyst, including at least three years applied to national security, defense ... Basic & Voluntary Life Insurance * Wellness Program * PTO * 11 Holidays * Professional Development ...

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.

Gritter Francona

DHA Senior Data Analyst

Washington, DC · On-site +1

$97K - $122K/yr

Any relevant data analytics certification required (Google Data Analytics Professional, Microsoft ... Life Insurance (Basic, Voluntary & AD&D) * Paid Time Off (Vacation, Sick & Public Holidays) * Short ...

Gritter Francona

DHA Senior Data Analyst

Arlington, VA · On-site

$98K - $124K/yr

Any relevant data analytics certification required (Google Data Analytics Professional, Microsoft ... Life Insurance (Basic, Voluntary & AD&D) * Paid Time Off (Vacation, Sick & Public Holidays) * Short ...

Gritter Francona

DHA Senior Data Analyst

Washington, DC · On-site

$97K - $122K/yr

Any relevant data analytics certification required (Google Data Analytics Professional, Microsoft ... Life Insurance (Basic, Voluntary & AD&D) * Paid Time Off (Vacation, Sick & Public Holidays) * Short ...

Gritter Francona

DHA Senior Data Analyst

Falls Church, VA · On-site

$91K - $115K/yr

Any relevant data analytics certification required (Google Data Analytics Professional, Microsoft ... Life Insurance (Basic, Voluntary & AD&D) * Paid Time Off (Vacation, Sick & Public Holidays) * Short ...

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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

Senior Data Analyst

Gritter Francona

Washington, DC • On-site

$97K - $122K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 14 days ago

Job description

Gritter Francona is looking for a Senior Data Analyst to provide advanced data analytics and project management support for federal healthcare initiatives. The analyst will collect, analyze, and interpret complex data using advanced models and algorithms and translate findings into actionable business recommendations for management.

Key Responsibilities
  • Analyze complex datasets to identify trends, patterns, risks, and opportunities.
  • Develop data models, reports, dashboards, graphs, and charts to communicate findings.
  • Present analytical results and recommendations to project managers, business leads, and senior leadership.
  • Support project management activities, including tracking milestones, deliverables, dependencies, risks, costs, and performance.
  • Provide regular status reporting and data-driven insights to support project and business decisions.
  • Ensure data quality, accuracy, and consistency across multiple systems.
  • Collaborate with technical teams, project managers, workstream sponsors, and business stakeholders.
VHA Systems Experience

The candidate must have in-depth knowledge of VHA systems and data sources, including:

  • Corporate Data Warehouse (CDW)
  • VistA
  • VHA Support Service Center (VSSC)
  • VHA Reports and Measurement Portal (RAMP)
  • Patient Treatment File (PTF/MedSAS)
  • Managerial Cost Accounting (MCA)
  • Primary Care Management Module (PCMM)
  • National Patient Care Database (NPCD)
  • VETSNET Corporate Mini Master File

Requirements

  • Bachelor's degree (BA/BS) in Data Analytics, Computer Science, Information Systems, Mathematics, Statistics, Business, or related field.
  • 8 years of professional experience in data analytics, business intelligence, data management, or a related field.
  • Strong experience with complex healthcare data and analytical techniques.
  • Experience developing data visualizations, reports, and analytical models.
  • Experience supporting project management and federal healthcare programs.
  • Excellent analytical, communication, presentation, and problem-solving skills.

Benefits

  • Health Care Plan (Medical, Dental & Vision)
  • Retirement Plan (401k, IRA)
  • Life Insurance (Basic, Voluntary & AD&D)
  • Paid Time Off (Vacation, Sick & Public Holidays)
  • Short Term & Long Term Disability
  • Training & Development

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