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Senior Insurance Data Analytics Jobs in Barre, VT

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Senior Insurance Data Analytics information

See Barre, VT salary details

$16

$55

$80

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

As of Sep 7, 2026, the average hourly pay for senior insurance data analytics in Barre, VT is $55.78, according to ZipRecruiter salary data. Most workers in this role earn between $45.77 and $66.11 per hour, depending on experience, location, and employer.

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 Barre, VT?

The most popular types of Insurance Data Analytics jobs in Barre, VT are:

Senior Insurance Data Analytics jobs near you

Senior Microsoft Purview Data Security Engineer

2T Consulting

Bradford, VT

$107K - $148K/yr

Full-time

Posted 4 days ago

Job description

Roles and Responsibilities
  • Design, implement, administer, and optimize enterprise Microsoft Purview architecture, governance models, policies, and operational processes.
  • Serve as a technical SME for Purview DLP, Information Protection, Sensitivity Labels, Insider Risk Management, Records Management, DSPM, eDiscovery, Audit, and Compliance Manager.
  • Configure and manage Sensitive Information Types (SITs), Exact Data Match (EDM), Trainable Classifiers, and data protection controls.
  • Develop and enforce data protection policies across Exchange, SharePoint, Teams, endpoints, and other Microsoft 365 workloads.
  • Design and implement data security and governance controls for Microsoft 365 Copilot and AI-enabled workloads.
  • Extend data protection and governance capabilities across Azure and multi-cloud environments.
  • Partner with Security Operations, Legal, Privacy, Compliance, and Cloud Engineering teams to translate regulatory requirements into technical controls.
  • Integrate Microsoft Purview with Microsoft Defender XDR and Microsoft Sentinel to improve security monitoring and incident response.
  • Develop PowerShell automation for Purview administration, policy management, reporting, and operational tasks.
  • Create security posture reports and dashboards using Power BI.
  • Conduct platform health checks, troubleshoot security and compliance issues, and continuously improve the data security posture.
  • Establish deployment, change management, documentation, and operational governance standards for data security solutions.
Required Qualifications
  • Bachelor’s degree in Cybersecurity, Computer Science, Information Technology, or equivalent practical experience.
  • 5+ years of information security engineering experience.
  • 3+ years of hands-on Microsoft Purview implementation and administration experience.
  • Strong experience implementing:
    • Microsoft Purview DLP
    • Information Protection and Sensitivity Labels
    • Sensitive Information Types (SITs)
    • Exact Data Match (EDM)
    • Trainable Classifiers
    • Insider Risk Management
    • Records Management
    • eDiscovery, Audit, and Compliance Manager
  • Hands-on experience with Microsoft Defender for Endpoint, Microsoft Intune, and Microsoft 365 security.
  • Strong PowerShell scripting and automation experience.
  • Experience integrating Microsoft security and compliance technologies with Microsoft Sentinel and Defender XDR.
  • Strong understanding of data protection, information governance, compliance, and security operations.
  • Knowledge of security and compliance frameworks such as NIST, ISO 27001, and GDPR.
  • Strong analytical, troubleshooting, communication, and stakeholder management skills.
Preferred Qualifications
  • Experience with Microsoft Purview Data Map, Data Security Posture Management (DSPM), and enterprise data discovery/scanning.
  • Experience securing and governing Microsoft 365 Copilot and AI-enabled technologies.
  • Experience developing Power BI security and compliance dashboards.
  • Strong knowledge of Zero Trust security principles.
  • Familiarity with HIPAA, PCI-DSS, SOX, and CCPA requirements.
  • Experience working in highly regulated or compliance-driven enterprise environments.

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