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Volunteer Insurance Data Analytics Jobs in Springfield, MA

Milliman

Healthcare Data Analyst (MedInsight)

Windsor, CT · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

The MedInsight team develops an industry-leading data warehouse and analytics suite for major healthcare companies including insurers, providers, and public entities. We are a tech healthcare data ...

Amicis Global

Data Analyst

Hartford, CT · On-site

$70 - $80/hr

... analytics business requirements completely and accurately from stakeholders. * Performs ... Insurance industry and data warehouse or reporting/analytic projects * Proficient in industry ...

Collabera

Data Analyst

Hartford, CT

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... insurance, 401K retirement savings plan, Life Insurance, Disability Insurance. Primary ... Performs data and process analysis. Ability to write SQL code in multiple OS platforms & software.

The Computer Merchant, Ltd

Data Engineer

Springfield, MA · On-site

$78 - $84/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

Bachelor's degree in a relevant field (e.g., Computer Science, Data Engineering, Analytics ... plan; voluntary life/short term disability/whole life/term life/accident and critical illness ...

Belcan

Project Data Analyst

Windsor, CT

$29 - $35/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Data Analyst Pay Rate: $29-35/hour Locations: Windsor, CT 06120 Asheville, NC 28801 Area Codes: 860 ... Benefits offered MAY include health, dental, vision, and life insurance; 401(k); education ...

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All JobsVolunteer Insurance Data Analytics JobsVolunteer Insurance Data Analytics Jobs in Springfield, MA

Volunteer Insurance Data Analytics information

See Springfield, MA salary details

$24

$54

$94

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

As of Aug 14, 2026, the average hourly pay for volunteer insurance data analytics in Springfield, MA is $54.56, according to ZipRecruiter salary data. Most workers in this role earn between $43.85 and $61.78 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 Springfield, MA?

For Volunteer Insurance Data Analytics jobs in Springfield, MA, the most frequently searched job titles are:

What job categories do people searching Volunteer Insurance Data Analytics jobs in Springfield, MA look for?

The top searched job categories for Volunteer Insurance Data Analytics jobs in Springfield, MA are:

What cities near Springfield, MA are hiring for Volunteer Insurance Data Analytics jobs?

Cities near Springfield, MA with the most Volunteer Insurance Data Analytics job openings:

Volunteer Insurance Data Analytics jobs near you

Senior Product Manager - Data Analytics & Cloud Platform

Neshent Technologies

Manchester, CT • On-site

$127K - $168K/yr

Full-time

This job post has expired today. Applications are no longer accepted.

Job description

Roles & Responsibilities
  • Own the vision, strategy, roadmap, and lifecycle of enterprise data products.
  • Serve as the Product Owner and subject matter expert for Cloud Analytics initiatives.
  • Partner with business stakeholders, engineering teams, and leadership to define product requirements and priorities.
  • Manage and prioritize the product backlog, ensuring alignment with business objectives.
  • Create and refine user stories, acceptance criteria, and sprint priorities for Agile delivery teams.
  • Drive the design, implementation, enhancement, and sustainment of data products.
  • Collaborate with Scrum teams to deliver high-quality analytics and data integration solutions.
  • Act as the voice of customers and business stakeholders, ensuring product decisions deliver maximum value.
  • Monitor product performance, identify improvement opportunities, and drive continuous innovation.
  • Facilitate Agile ceremonies and ensure successful execution of Scrum and SAFe practices.
  • Communicate product roadmap, progress, risks, and outcomes to leadership and key stakeholders.
  • Support continuous improvement initiatives and promote best practices in Agile product management.
Required Technical/Functional Skills
  • 10+ years of experience in Product Management, Product Ownership, or Business Analysis within enterprise IT environments.
  • Proven experience managing Cloud Analytics, Data Analytics, or Data Platform products.
  • Strong understanding of data analytics, data science, and data integration concepts.
  • Experience defining product vision, strategy, roadmap, and execution for enterprise data products.
  • Hands-on experience with Agile methodologies, including Scrum and SAFe.
  • Strong experience managing product backlogs, user stories, acceptance criteria, and release planning.
  • Proficiency with Jira, Confluence, Microsoft Visio, Whiteboard, and PowerPoint.
  • Excellent stakeholder management, communication, analytical, and problem-solving skills.
Preferred Skills
  • Experience working in Claims, Insurance, Consumer, or Leave Management domains.
  • Knowledge of Cloud Analytics platforms, Data Warehousing, and Data Integration solutions.
  • Experience collaborating with cross-functional engineering, analytics, and business teams.
  • Ability to translate business needs into scalable data product solutions.

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