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Volunteer Insurance Data Analytics Jobs in Reston, VA

Amyx, Inc.

Lead Analyst- Data Analytics

Washington, DC · On-site +1

Data Management and Analytics, Certified Analytics Professional, Amazon Web Services (AWS ... Basic & Voluntary Life Insurance * Wellness Program * PTO * 11 Holidays * Professional Development ...

Airbus

Data Analytics Specialist

Dulles, VA · On-site

Data Analysis and Insight: 30% * Conduct in-depth data analysis and experimentation to uncover ... Basic & Voluntary Life and Accidental Death & Dismemberment insurance, Short and Long-term ...

Ag

Data Analytics Specialist

Dulles, VA · On-site +1

Data Analysis and Insight: 30% * Conduct in-depth data analysis and experimentation to uncover ... Basic & Voluntary Life and Accidental Death & Dismemberment insurance, Short and Long-term ...

TRC Companies, Inc.

Data Analytics Engineer

Manassas, VA · On-site

$91K - $132K/yr

Responsibilities The Data Analytics Engineer will design, develop, and maintain robust data ... Medical, dental, vision, and disability insurance. * 401k package that includes both traditional ...

CGI Inc.

Senior Data Analytics Engineer

Reston, VA · On-site

Comprehensive insurance options . Matching contributions through the 401(k) plan and the share ... Data Analysis * Python * SQL * Data Engineering * Data Engineering What you can expect from us:

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All JobsVolunteer Insurance Data Analytics JobsVolunteer Insurance Data Analytics Jobs in Reston, VA

Volunteer Insurance Data Analytics information

See Reston, VA salary details

$25

$56

$98

How much do volunteer insurance data analytics jobs pay per hour?

As of Jul 19, 2026, the average hourly pay for volunteer insurance data analytics in Reston, VA is $56.96, according to ZipRecruiter salary data. Most workers in this role earn between $45.77 and $64.52 per hour, depending on experience, location, and employer.

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

AspectVolunteer Insurance Data AnalyticsInsurance Data Analyst
Required CredentialsRelevant certifications, data analysis skills, insurance knowledgeDegree in statistics, data science, or related field; certifications preferred
Work EnvironmentNon-profit, volunteer-based, flexible hoursCorporate insurance companies, structured office settings
Employer & Industry UsageNon-profit organizations, insurance charitiesInsurance firms, financial institutions
Common Search & ComparisonVolunteer Insurance Data Analytics vs Insurance Data Analyst

Volunteer Insurance Data Analytics focuses on analyzing insurance data within volunteer or non-profit contexts, often with flexible or part-time roles. Insurance Data Analysts work in corporate settings, handling large datasets to inform business decisions. Both roles require similar analytical skills and insurance knowledge but differ mainly in work environment and employment type.

What job categories do people searching Volunteer Insurance Data Analytics jobs in Reston, VA look for? The top searched job categories for Volunteer Insurance Data Analytics jobs in Reston, VA are:
What cities near Reston, VA are hiring for Volunteer Insurance Data Analytics jobs? Cities near Reston, VA with the most Volunteer Insurance Data Analytics job openings:
Volunteer Insurance Data Analytics jobs near you
Lead Analyst- Data Analytics

Lead Analyst- Data Analytics

Amyx, Inc.

Washington, DC

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 16 days ago

Job description

Amyx is seeking to hire a Lead Analyst - Data Analytics to support our Department of Homeland Security, CISA contract in the Washington DC area.


  • Manage data analtyics activities across our data analysis task
  • Must have the ability to communicate accurate information

Required:

  • Current DHS Suitability Clearance
  • at least six (6) years of demonstrated experience acting as a senior data analyst, including at least three years applied to national security, defense security, or homeland security data.
  • a degree in the fields of Mathematics, Data Science, Statistics, or Engineering and a have undertaken at least 24 credit hours of quantitative based coursework (in the fields of mathematics, statistics, or engineering), including at least six credit hours of calculus.
  • experience in presenting and communicating the results of analysis to project stakeholders.
  • relevant certifications in the field of data science (e.g., Microsoft Certified Solutions Expert: Data Management and Analytics, Certified Analytics Professional, Amazon Web Services (AWS) Certified Big Data - Specialty, or SAS Certified Big Data Professional)

Benefits include:

  • Medical, Dental, and Vision Plans (PPO & HSA options available)
  • Flexible Spending Accounts (Health Care & Dependent Care FSA)
  • Health Savings Account (HSA)
  • 401(k) with matching contributions
  • Roth
  • Qualified Transportation Expense with matching contributions
  • Short Term Disability
  • Long Term Disability
  • Life and Accidental Death & Dismemberment
  • Basic & Voluntary Life Insurance
  • Wellness Program
  • PTO
  • 11 Holidays
  • Professional Development Reimbursement

Please contact talent@amyx.com with any questions!

Amyx is proud to be an Equal Opportunity Employer.  All qualified candidates will be considered without regard to race, color, religion, national origin, age, disability, sexual orientation, gender identity, status as a protected veteran, or any other characteristic protected by law. Amyx is a VEVRAA federal contractor and we request priority referral of veterans.
Physical Demands
Employee needs to be able to sit at a workstation for extended periods; use hand(s) to handle or feel objects, tools, or controls; reach with hands and arms; talk and hear. Most positions require ability to work on desktop or laptop computer for extended periods of time reading, reviewing/analyzing information, and providing recommendations, summaries and/or reports in written format. Must be able to effectively communicate with others verbally and in writing. Employee may be required to occasionally lift and/or move moderate amounts of weight, typically less than 20 pounds. Regular and predictable attendance is essential.

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