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Volunteer Insurance Data Analytics Jobs in Ridgewood, NJ

Required Qualifications * 5+ years of experience working with insurance bordereaux (BDX) reporting, premium reporting, or insurance data analysis. * Strong understanding of MGA, Program, P&C, or ...

Hands-on experience with insurance loss data, loss development, exposure analysis, and rate adequacy. * Experience building models that have been deployed in production and used to make real ...

Manager, Data Analytics

New York, NY · Remote

$111K - $145K/yr

Oscar is the first health insurance company built around a full stack technology platform and a ... The Manager, Data Analytics works closely across and outside the organization to solve complex data ...

Manager, Data Analytics

New York, NY · Remote

$111K - $145K/yr

Oscar is the first health insurance company built around a full stack technology platform and a ... The Manager, Data Analytics works closely across and outside the organization to solve complex data ...

Manager, Data Analytics

New York, NY · On-site

$111K - $145K/yr

Oscar is the first health insurance company built around a full stack technology platform and a ... The Manager, Data Analytics works closely across and outside the organization to solve complex data ...

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Volunteer Insurance Data Analytics information

See Ridgewood, NJ salary details

$24

$55

$95

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

As of Sep 6, 2026, the average hourly pay for volunteer insurance data analytics in Ridgewood, NJ is $55.39, according to ZipRecruiter salary data. Most workers in this role earn between $44.52 and $62.74 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 Ridgewood, NJ look for?

The top searched job categories for Volunteer Insurance Data Analytics jobs in Ridgewood, NJ are:

What cities near Ridgewood, NJ are hiring for Volunteer Insurance Data Analytics jobs?

Cities near Ridgewood, NJ with the most Volunteer Insurance Data Analytics job openings:

Infographic showing various Volunteer Insurance Data Analytics job openings in Ridgewood, NJ as of August 2026, with employment types broken down into 1% As Needed, 72% Full Time, 21% Part Time, 5% Contract, and 1% Nights. Highlights an 85% Physical, 1% Hybrid, and 14% Remote job distribution, with an average salary of $115,215 per year, or $55.4 per hour.

Insurance Data Analyst

1 point system

New York, NY • Remote

Contractor

Re-posted 26 days ago


Job description

Required Qualifications

  • 5+ years of experience working with insurance bordereaux (BDX) reporting, premium reporting, or insurance data analysis.
  • Strong understanding of MGA, Program, P&C, or Specialty Insurance operations.
  • Advanced SQL skills, including data extraction, joins, aggregations, and reconciliation analysis.
  • Experience analyzing policy, premium, and claims data.
  • Strong Excel skills, including PivotTables, VLOOKUP/XLOOKUP, and data validation techniques.
  • Experience identifying and resolving data quality issues.
  • Excellent analytical, problem-solving, and communication skills.