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Exempt Data Analyst Jobs in Vermont (NOW HIRING)

University of Dayton, Ohio

Buyer

Montpelier, VT · On-site

$55 - $70/hr

A - Exempt Advertised: August 07, 2026 Applications close: September 04, 2026 Position Summary This ... and data analysis. Customer service is critical as this position is responsible for assisting ...

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All JobsExempt Data Analyst JobsExempt Data Analyst Jobs in Vermont

Exempt Data Analyst information

See Vermont salary details

$36.2K

$87.9K

$144.6K

How much do exempt data analyst jobs pay per year?

As of Sep 5, 2026, the average yearly pay for exempt data analyst in Vermont is $87,867.00, according to ZipRecruiter salary data. Most workers in this role earn between $66,500.00 and $103,100.00 per year, depending on experience, location, and employer.

What is an exempt data analyst?

Exempt Data Analysts are professionals who collect, process, and analyze data to help organizations make informed decisions, and who are classified as 'exempt' under the Fair Labor Standards Act (FLSA). This means they are typically salaried employees who are not eligible for overtime pay due to the nature of their analytical, specialized, or supervisory duties. Exempt Data Analysts often work in industries such as finance, healthcare, and technology, using statistical tools and software to interpret data trends and provide actionable insights. Their role may also involve data visualization, reporting, and collaborating with other departments to support business objectives.

What are the key skills and qualifications needed to thrive as an exempt data analyst, and why are they important?

To thrive as an Exempt Data Analyst, you need strong analytical abilities, proficiency in statistical methods, and a relevant degree in fields like mathematics, statistics, computer science, or economics. Experience with data analysis tools such as SQL, Python, R, Excel, and visualization platforms like Tableau or Power BI is typically required. Attention to detail, critical thinking, and effective communication are crucial soft skills for interpreting data and presenting actionable insights. These skills are vital for transforming complex data into strategic recommendations that drive organizational success.

How does an exempt data analyst typically collaborate with other departments to drive business decisions?

Exempt Data Analysts frequently work cross-functionally, partnering with teams such as marketing, finance, and operations to interpret complex data and translate findings into actionable insights. They are often involved in meetings to discuss business goals and present data-driven recommendations, ensuring that stakeholders understand trends and opportunities. Collaboration may include developing dashboards, sharing reports, and advising on data collection strategies to support organizational objectives. This role requires strong communication skills and the ability to tailor technical information for non-technical audiences.

What are the most commonly searched types of Data Analyst jobs in Vermont?

The most popular types of Data Analyst jobs in Vermont are:

What job categories do people searching Exempt Data Analyst jobs in Vermont look for?

The top searched job categories for Exempt Data Analyst jobs in Vermont are:

Exempt Data Analyst jobs near you

Research Data Analysis PC5 X

University of Vermont

Burlington, VT • On-site, Remote

$80K - $95K/yr

Full-time

Posted 16 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

170th of 630 rated colleges and universities

Job description

Position Details
Advertising/Posting Title AI/ML Ecosystem Data Analyst Posting Summary
Serve as the AI/ML Ecosystem Data Analyst within the USGS Research Cooperative Unit at UVM,and in collaboration with the Spatial Analysis Lab (SAL). The primary role of this position is to analyze ecological data and design, build, and operationalize AI/ML workflows that collect, process, and derive insight from heterogeneous data sources, including wildlife imagery, bioacoustics recordings, geospatial and remotely sensed data, sensor networks, and field observations. Develop, train, evaluate, and deploy AI/ML models for mapping, classification, and detection of wildlife and other features, and build the data pipelines, databases, and R Shiny or comparable interfaces that make results reproducible, maintainable, and accessible to researchers, partners, and the public. Support the AI/ML branch of RSENR within the Cooperative Unit and SAL, contribute to ecosystem monitoring efforts, and help oversee the Alliance for Monitoring Biodiversity and Ecosystems Remotely (AMBER) program. Work under the direction of the USGS Research Cooperative Unit Leader and collaborate with the SAL Director, RSENR, and other partners on grant writing, business development, and research initiatives, while independently pursuing outside funding opportunities. Partner with geospatial analysts and the development team lead on research and development of new AI/ML methods and models
Minimum Qualifications (or equivalent combination of education and experience)
- PhD in Computer Science, Wildlife Biology, Ecology, Data Science, Bioinformatics, or a closely related discipline, and four years related professional experience.
- Demonstrated expertise in data science, machine learning, and AI applications.
- Strong proficiency in relational database design and management, including stand-alone programs such as SQLite and served databases such as SQL or Postgres.
- Experience with APIs, web services, Power Automate, Teams, and Sharepoint for workflow integration.
- Strong record of interdisciplinary collaboration and scientific productivity.
- Experience managing complex technical or research projects, including grant writing.
- Experience with cloud-native infrastructure and scalable AI workflows, focused primarily on the R and Python coding languages.
- Substantial experience in working with the public and agency monitoring partners.

Desirable Qualifications
- Postdoctoral experience preferred
- High proficiency in public outreach and instruction desired
- Supervisory or personnel management experience desired
Anticipated Pay Range $80,000 - $95,000 Other Information Special Conditions A probationary period may be required, Contingent on continued funding, Occasional evening and/or weekends required (if non-exempt position, may result in overtime), Travel to and from worksites required, This position is eligible for a hybrid schedule with an option to split time between campus and elsewhere, 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 08/20/2026 Job Close Date (Jobs close at 11:59 PM EST.) 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 PC5 X Posting Number S6267PO Department Rubenstein Sch Env & Nat Res/57000 Position Number 00027971 Percent of Full-Time 1.0 Standard Hours at 1.0 FTE 37.5 Term (months per year) 12

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