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Data Analytics Manager Jobs in Vermont (NOW HIRING)

Diverse Lynx

AWS Cloud Data Lake Lead

Cambridge, VT · On-site

Responsibilities : • Lead and manage a team of 6 data scientists, ML engineers, and analytics professionals across onshore/offshore locations, providing technical mentorship and career guidance ...

PNC Bank

Business Analytics Consultant

Tyson, VT · On-site

$52K - $127K/yr

Skills- -Ability to extract and consolidate data from multiple sources -Strong analytical skills to ... Managing Risk - Assessing and effectively managing all of the risks associated with their business ...

Element Materials Technology

Data Processor

Barre, VT · On-site

Instruct, supervise, manage, and monitor site personnel ensuring data processing, review , analysis, submission of reports * Attending project meetings, schedule control, submit for permits for on ...

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All JobsData Analytics JobsData Analytics Manager JobsData Analytics Manager Jobs in Vermont

Data Analytics Manager information

See Vermont salary details

$33K

$103.3K

$182.9K

How much do data analytics manager jobs pay per year?

As of Aug 7, 2026, the average yearly pay for data analytics manager in Vermont is $103,289.00, according to ZipRecruiter salary data. Most workers in this role earn between $70,200.00 and $133,400.00 per year, depending on experience, location, and employer.

How do data analytics managers typically collaborate with stakeholders from non-technical departments?

Data Analytics Managers often act as a bridge between technical data teams and non-technical stakeholders, such as marketing, finance, or operations. They translate complex data insights into actionable recommendations and ensure that analyses align with business objectives. Regular communication, tailored presentations, and workshops are common practices to ensure all stakeholders understand the value and limitations of analytical findings. This collaborative approach helps drive data-driven decision-making across the organization.

What are the key skills and qualifications needed to thrive as a data analytics manager?

To thrive as a Data Analytics Manager, you need strong analytical skills, expertise in statistical methods, and a background in data science or a related field, often supported by a bachelor's or master's degree. Proficiency with data visualization tools (such as Tableau or Power BI), SQL, and analytics platforms like Python or R is typically required, along with experience in managing data projects. Leadership, strategic thinking, and effective communication are important soft skills for leading teams and translating data insights into actionable business strategies. These skills ensure that analytical initiatives drive business value and support informed decision-making across the organization.

What does a data analytics manager do?

A Data Analytics Manager oversees data analysis operations and leads a team of analysts to extract actionable insights from data. They are responsible for managing data-driven projects, ensuring data integrity, and presenting findings to help guide business decisions. Their role often involves collaborating with various departments, setting analytic strategies, and ensuring that the team uses the most effective tools and methodologies. Additionally, they may handle hiring, training, and performance reviews of analytics staff.

What is the difference between Data Analytics Manager vs Data Analyst?

AspectData Analytics ManagerData Analyst
ResponsibilitiesOversees analytics projects, manages teams, develops strategiesPerforms data collection, cleaning, and analysis to generate reports
Required SkillsLeadership, project management, advanced analyticsData manipulation, statistical analysis, visualization
QualificationsBachelor's or Master's in Data Science, Analytics, or related fields; certifications like CAP or Microsoft Certified Data AnalystBachelor's in Statistics, Mathematics, or related fields; certifications like Microsoft Certified Data Analyst
Work EnvironmentCorporate offices, analytics teams, cross-department collaborationData teams, business units, often in office or remote settings

In summary, a Data Analytics Manager leads analytics teams and strategies, requiring leadership skills and advanced certifications, while a Data Analyst focuses on data processing and reporting, with more technical and analytical tasks. Both roles are essential in data-driven organizations and often work closely together.

What are the most commonly searched types of Data Analytics jobs in Vermont? The most popular types of Data Analytics jobs in Vermont are:
What are popular job titles related to Data Analytics Manager jobs in Vermont? For Data Analytics Manager jobs in Vermont, the most frequently searched job titles are:
What job categories do people searching Data Analytics Manager jobs in Vermont look for? The top searched job categories for Data Analytics Manager jobs in Vermont are:
What cities in Vermont are hiring for Data Analytics Manager jobs? Cities in Vermont with the most Data Analytics Manager job openings:
Data Analytics Manager jobs near you
Infographic showing various Data Analytics Manager job openings in Vermont as of August 2026, with employment types broken down into 88% Full Time, 11% Part Time, and 1% Contract. Highlights an 84% Physical, 3% Hybrid, and 13% Remote job distribution, with an average salary of $103,289 per year, or $49.7 per hour.

Research Data Analysis PC4 X

University of Vermont

Burlington, VT • On-site

$116K - $117K/yr

Other

Posted 9 days ago

University Of Vermont rating

8.1

Company rating: 8.1 out of 10

Based on 18 frontline employees who took The Breakroom Quiz

156th of 616 rated colleges and universities

Job description

Position Details
Advertising/Posting Title Senior Health Services Research Analyst Posting Summary
The Heath Services Research Center is a Larner College of Medicine Dean's Office department and this position will report to the Director of the Center and will functionally direct and review analytic work performed by other analysts, consultants, subcontractors, students, and collaborators. Its role is not simply coaching or training others but assuring the scientific integrity of their work.

This position will serve as the principal analytic and methodological expert for a portfolio of highly complex health services, health policy, and rural health studies. Combine advanced technical, data, statistical, and econometric expertise with extensive knowledge of the health care system, reimbursement, payer policy, and the strengths and limitations of administrative data. Exercise substantial autonomy in partnership with principal investigators to shape study design, analytic strategy, data acquisition and management, interpretation, and dissemination. Lead analyses using large Medicare, Medicaid, and commercial claims and enrollment data; build longitudinal relational data resources using SQL; link claims with surveys, provider files, geographic data, and other external sources; and develop defensible methods for identifying rural providers, populations, and markets. Lead analyses of complex survey data using established survey weights and design variables and conduct advanced analyses using SAS and Stata. Resolve novel, ambiguous, or high-impact methodological and data problems affecting multiple studies or partners. Establish analytic standards; assure quality, reproducibility, security, and scientific integrity; and direct or review work performed by analysts, collaborators, consultants, and subcontractors. Represent the analytic program with funders, agencies, data partners, and scientific collaborators and provide authoritative contributions to proposals, reports, presentations, and peer-reviewed publications.
Minimum Qualifications (or equivalent combination of education and experience)
Master's degree in health services research, health economics, epidemiology, biostatistics, public health, public policy, economics, statistics, or a related field and at least 5 -10 years of progressively responsible experience conducting complex quantitative health services or health policy research; or an equivalent combination of education and extensive relevant experience.
This is not simply advanced statistical programming. The position requires an unusually rare combination of:
Medicare, Medicaid, and commercial claims expertise
SQL-based relational and longitudinal data construction
Econometric and health policy analysis
Complex survey analysis and weighting
Rural provider and population identification
Knowledge of reimbursement, payer policy, coding, and administrative-data limitations
Experience analyzing Medicare, Medicaid, commercial claims, all-payer claims, or other national or state health data.
Extensive experience analyzing large, complex health care claims and enrollment data across Medicare, Medicaid, and commercial payers, including deep knowledge of coding, reimbursement, payer policies, benefit design, and the strengths and limitations of administrative data.
Expert-level SAS, Stata, and SQL experience, including construction and management of complex relational and longitudinal analytic files, data linkage, quality assurance, econometric and health policy analysis, and reproducible documentation.
Advanced expertise analyzing complex survey data using established survey weights, strata, clusters, replicate weights, and appropriate variance-estimation methods, including integration of survey and administrative data.
Demonstrated experience identifying rural providers, populations, and geographic markets in administrative data and applying rural definitions appropriately to research questions.
Demonstrated experience serving as the principal analytic expert for highly complex studies or a portfolio of projects, establishing analytic strategy and standards, allocating analytic resources, and delivering high-quality products with substantial autonomy.
Demonstrated ability to resolve novel, ambiguous, or high-impact analytic problems, evaluate and defend alternative approaches, and implement improvements that strengthen methods, systems, or products across multiple projects or collaborators.
Knowledge of HIPAA, data use agreements, and data security practices applicable to confidential research data.
Effective written, oral, and interpersonal communication skills, including the ability to explain complex methods and findings to technical and nontechnical audiences and collaborate with internal and external partners.
Desirable Qualifications
Doctoral degree in health services research, health economics, epidemiology, biostatistics, public health, public policy, economics, statistics, or a related field and at least 10 - 15 years of progressively responsible experience conducting complex quantitative health services or health policy research; or an equivalent combination of education and extensive relevant experience.
Experience with rural health, health policy, health care access, quality, financing, delivery system transformation, or evaluation research.
Experience contributing to grant or contract proposals, budgets, IRB materials, data acquisition, and data use agreements.
Record of contributing to policy briefs, sponsor reports, presentations, or peer-reviewed publications.
Experience mentoring analysts or students and reviewing analytic code and work products.
Anticipated Pay Range $95,000-$103,000 Other Information Special Conditions A probationary period may be required, Contingent on continued funding, This position is eligible for full-time telework in accordance with the university telecommuting policy, Background Check required for this position FLSA Exempt Union Position Yes, UVMSU
Posting Details

Position will be posted for a minimum of one week, after which it is subject to removal without notice.

Job Location Burlington, Vermont, United States Job Open Date 07/29/2026 Job Close Date (Jobs close at 11:59 PM EST.) 08/04/2026 Open Until Filled No
Our Common Ground Statement

The University of Vermont is a welcoming, educationally purposeful community committed to creating an inclusive environment that embraces intellectual diversity and global perspectives. We seek to prepare students to be accountable leaders who will bring to their work a grasp of complexity, effective problem-solving and communication skills, and an enduring commitment to learning and ethical conduct. Members of the University of Vermont community embrace and advance the values of Our Common Ground: Respect, Integrity, Innovation, Openness, Justice, and Responsibility. Staff play a critical role in this effort and the successful candidate will demonstrate a strong commitment to UVM's mission and advancing Our Common Ground values through the execution of their job duties.

Position Information
Position Title Research Data Analysis PC4 X Posting Number S6240PO Department COM Office of the Dean/55000 Position Number 00027955 Percent of Full-Time 1.0 Standard Hours at 1.0 FTE 37.5 Term (months per year) 12

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