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Senior Insurance Data Analytics Jobs in Barre, VT

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Manager & Summary At PwC, our people in data and analytics engineering focus on leveraging advanced technologies ...

Accounting, Analytics/Data Science, Artificial Intelligence/Robotics, Business Administration ... Insurance - Demonstrating advanced skills in data science algorithms and workflows - Utilizing ...

VP of IT

Northfield, VT · On-site

$250K - $300K/yr

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 ...

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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:

Principal, Data/Analytics and Benchmarking

UKG (Ultimate Kronos Group)

Montpelier, VT • On-site

$150 - $200/hr

Other

Posted 6 days ago


UKG rating

7.8

Company rating: 7.8 out of 10

Based on 42 frontline employees who took The Breakroom Quiz

139th of 247 rated software companies


Job description

Why UKG:

At UKG, the work you do matters. The code you ship, the decisions you make, and the care you show a customer all add up to real impact. Today, tens of millions of workers start and end their days with our workforce operating platform. Helping people get paid, grow in their careers, and shape the future of their industries. That’s what we do.

We never stop learning. We never stop challenging the norm. We push for better, and we celebrate the wins along the way. Here, you’ll get flexibility that’s real, benefits you can count on, and a team that succeeds together. Because at UKG, your work matters—and so do you.

About the Team:

The Enterprise Strategic Programs and Business Operations team develops enterprise integrated planning process and operating rhythm with coordinated plans, disciplined execution, and transparent performance management. We partner across functions and product lines to orchestrate enterprise planning, lead high-priority cross-functional initiatives, and build company-level execution management framework to ensure seamless execution. The team is uniquely positioned at the intersection of enterprise strategy, planning, operating cadence, and transformation, with broad visibility across UKG functions and direct exposure to senior leaders.

About the Role:

The Principal, Data/Analytics and Benchmarking will build the analytical foundation for enterprise planning, performance management, and strategic initiative decisions. This role will define decision-relevant metrics, collect data, develop models and dashboards, and combine internal performance data with external benchmarks to generate executive-ready insights and recommendations.

  • Define the data, analytics, and benchmarking roadmap for enterprise planning and transformation, prioritizing the questions, metrics, and capabilities that will most improve decision quality
  • Establish consistent metric definitions, calculation logic, data sources, and documentation so leaders can rely on a transparent and comparable fact base
  • Collaborate closely with Enterprise Systems, Finance, and relevant functional teams to collect and reconcile source data, identify inconsistencies or emerging trends
  • Conduct internal and external benchmarking to identify performance gaps, leading practices, and realistic improvement opportunities across functions, products, and operating processes.
  • Build analytical models, scenarios, dashboards, and scorecards that reveal trends, drivers, sensitivities, and trade-offs relevant to enterprise priorities and investment decisions.
  • Translate complex analyses into executive-ready narratives and visualizations that clearly communicate the insight, business implication, and recommended action.
  • Partner with Finance, Enterprise Systems, and functional owners to resolve data quality issues, improve repeatability, and strengthen governance for critical enterprise metrics.
  • Lead high-priority ad-hoc analyses by rapidly structuring ambiguous questions, integrating multiple data sources, and delivering defensible recommendations under tight timelines.
Qualifications:
  • 7+ years’ experience in enterprise business operations, data analytics, data science, strategic finance, or a related quantitative field
  • Demonstrated experience using data and external benchmarks to diagnose business performance, identify drivers and gaps, and develop strategic recommendations
  • Advanced analytical proficiency with Excel and data querying, modeling, or visualization tool such as SQL, Power BI, Tableau, Python, or an equivalent platform
  • Proficient in using AI to drive automated reporting and dashboarding
  • Demonstrated experience converting complex analyses into executive-ready presentations and written recommendations that are concise, visually clear, and decision oriented.
  • Experience with SaaS, enterprise software, workforce technology, or comparable business models and performance metrics
  • Experience building benchmarking libraries, metric taxonomies, data dictionaries, or governed executive dashboards used across multiple functions
  • Ability to pair analytical depth with strategic judgment, intellectual curiosity, and confident communication with senior leaders and non-technical stakeholders
  • Advanced degree in analytics, data science, finance, statistics, or a related discipline, MBA preferred
Company Overview:

UKG is the Workforce Operating Platform that puts workforce understanding to work. With the world's largest collection of workforce insights, and people-first AI, our ability to reveal unseen ways to build trust, amplify productivity, and empower talent, is unmatched. It’s this expertise that equips our customers with the intelligence to solve any challenge in any industry — because great organizations know their workforce is their competitive edge. Learn more at ukg.com.

Equal Opportunity Employer

UKG is an equal opportunity employer. We evaluate qualified applicants without regard to race, color, disability, religion, sex, age, national origin, veteran status, genetic information, and other legally protected categories.

View The EEO Know Your Rights poster (https://www.eeoc.gov/sites/default/files/2022-10/EEOC_KnowYourRights_screen_reader_10_20.pdf)

UKG participates in E-Verify. View the E-Verify posters here (https://www.e-verify.gov/sites/default/files/everify/posters/EVerifyParticipationPoster.pdf) .

It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.

Disability Accommodation in the Application and Interview Process

For individuals with disabilities that need additional assistance at any point in the application and interview process, please email UKGCareers@ukg.com .

The pay range for this position is $129,500 to $186,100. The actual base pay offered may vary depending on skills, experience, job-related knowledge and work location. In addition to base pay, employees may be eligible to participate in a performance-based bonus plan and to receive restricted stock unit awards as part of total compensation. Learn more about UKG’s benefits and rewards at https://www.ukg.com/about-us/careers/benefits

It is the policy of Ultimate Software to promote and assure equal employment opportunity for all current and prospective Peeps without regard to race, color, religion, sex, age, disability, marital status, familial status, sexual orientation, pregnancy, genetic information, gender identity, gender expression, national origin, ancestry, citizenship status, veteran status, and any other legally protected status entitled to protection under federal, state, or local anti-discrimination laws. This policy governs all matters related to recruitment, advertising, and initial selection of employment. It shall also apply to all other aspects of employment, including, but not limited to, compensation, promotion, demotion, transfer, lay-offs, terminations, leave of absence, and training opportunities.

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