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Volunteer Insurance Data Analytics Jobs in Reston, VA

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

... to volunteer for the things that matter to you, and more. We're obsessed with impact and making a ... Employer paid short-term/long-term disability and basic life insurance * Flexible hybrid working ...

Translate business questions into data-driven analyses, dashboards, reports, and actionable ... Medical, Rx, Dental & Vision Insurance * Personal and Family Sick Time & Company Paid Holidays

Translate business questions into data-driven analyses, dashboards, reports, and actionable ... Medical, Rx, Dental & Vision Insurance * Personal and Family Sick Time & Company Paid Holidays

New

Data Analytics Engineer

Chantilly, VA · On-site +1

$142.79K - $169.83K/yr

Yes As a Data Analytics Engineer, you will: * Evolve Extract, Transform, Load (ETL) pipelines of ... insurance are provided or available. We regularly review our Total Rewards package to ensure our ...

Data Analytics Consultant

Arlington, VA · On-site

$65K - $108K/yr

The Data Analytics Consultant is primarily responsible with performing all of the necessary ... Medical, Rx, Dental & Vision Insurance * Personal and Family Sick Time & Company Paid Holidays

Sales Data Analyst

Arlington, VA

$96.30K - $154.40K/yr

Proficient in Salesforce Reporting, Tableau, CRM Analytics, Alteryx, and Microsoft Excel ... Voluntary Insurance: Supplemental life insurance as well as enhanced short- and long-term ...

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Showing results 1-20

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 May 29, 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 are popular job titles related to Volunteer Insurance Data Analytics jobs in Reston, VA? For Volunteer Insurance Data Analytics jobs in Reston, VA, the most frequently searched job titles are:
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:
Lead Analyst- Data Analytics

Lead Analyst- Data Analytics

Amyx, Inc.

Washington, DC

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 25 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.