1

Senior Insurance Data Analytics Jobs in Vermont (NOW HIRING)

VP of IT

Northfield, VT ยท On-site

$250K - $300K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Own and lead the entire IT organization across ERP, Applications, Development, Data & Analytics, Infrastructure, Cybersecurity, and Help Desk functions * Serve as a member of the Senior Leadership ...

Sr. FinOps Analyst

Burlington, VT ยท Hybrid

$89K - $134K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Think independently to solve difficult data problems * Collate, analyze, and prioritize technology ... Benefits of working at Cox may include health care insurance (medical, dental, vision), retirement ...

Corrections Analyst

Waterbury Center, VT ยท On-site

  • Medical

  • Dental

  • Life

  • Retirement

Minimum Qualifications Bachelor's degree in Business Administration, data analytics, or related ... State Paid Family and Medical Leave Insurance (FMLI) * Two ways to save for your retirement: A ...

Pharmacy Senior CX Professional

East Montpelier, VT ยท On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Experience analyzing and summarizing consumer or patient experience data (e.g., NPS, CAHPS, HOS, or ... life insurance and many other opportunities. Application Deadline: 09-23-2026 About us About ...

Showing results 41-60

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 Vermont?

The most popular types of Insurance Data Analytics jobs in Vermont are:

What cities in Vermont are hiring for Senior Insurance Data Analytics jobs?

Cities in Vermont with the most Senior Insurance Data Analytics job openings:

VP of IT

Mondo

Northfield, VT โ€ข On-site

$250K - $300K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 7 days ago


Job description

Apply now: Vice President of Information Technology, location is Onsite. The start date is ASAP for this permanent position.

Job Title: Vice President of Information Technology (VP of IT) Location-Type: Onsite – 5 Days/Week in Northfield, VT Start Date Is: ASAP Duration: Permanent Compensation Range: $250,000 – $300,000 Base Salary 30% Annual Bonus Benefits: Eligible for Health, Dental, Vision, 401K, PTO Must be authorized to work in the U.S. This position is not eligible for sponsorship .

Job Description: Lead and scale the enterprise IT organization, driving technology strategy, ERP optimization, operational excellence, and business growth across a manufacturing-focused consumer products company.

Day-to-Day Responsibilities:

  • Own and lead the entire IT organization across ERP, Applications, Development, Data & Analytics, Infrastructure, Cybersecurity, and Help Desk functions
  • Serve as a member of the Senior Leadership Team and participate in company-wide strategic planning initiatives
  • Partner with Operations, Manufacturing, Supply Chain, Sales, Finance, HR, and executive leadership to align technology investments with business objectives
  • Own ERP strategy, governance, enhancements, integrations, vendor management, and long-term roadmap planning
  • Lead managers and teams across multiple IT disciplines while developing internal talent and succession plans
  • Drive enterprise technology initiatives that improve scalability, operational efficiency, and organizational growth
  • Oversee enterprise applications, eCommerce systems, APIs, EDI integrations, reporting platforms, and data ecosystems
  • Manage IT budgets, forecasting, resource planning, and vendor relationships
  • Ensure cybersecurity, business continuity, disaster recovery, and system reliability across the enterprise
  • Establish governance, prioritization, and execution frameworks to support business growth and operational excellence
  • Support manufacturing operations by ensuring technology platforms can scale while maintaining minimal downtime

Minimum Requirements:

  • 15 years of progressive IT leadership experience
  • Significant ERP ownership and leadership experience with Infor M3 preferred; SAP or Microsoft ERP strongly considered
  • Background supporting manufacturing, supply chain, logistics, wholesale, or consumer product organizations
  • Started career in a hands-on technical role such as Developer, Applications Specialist, ERP Analyst, Solutions Architect, or similar
  • Experience leading enterprise applications, ERP, data & analytics, infrastructure, cybersecurity, and support functions
  • Strong business acumen with the ability to partner effectively with executive leadership teams
  • Experience operating in lean organizations with highly engaged internal teams
  • Proven ability to translate business objectives into scalable technology strategies
  • Experience managing enterprise integrations, APIs, EDI platforms, and business-critical systems
  • Strong vendor management, budgeting, forecasting, and technology investment experience
  • Executive presence with the ability to influence senior leadership and drive organizational change
  • Experience supporting cloud-based enterprise environments
Preferred Qualifications:
  • Infor M3 expertise
  • Experience with Snowflake and/or Power BI
  • Consumer products, wholesale, or manufacturing industry experience
  • Enterprise Solution Architecture background
  • Experience supporting global expansion initiatives and large-scale ERP implementations