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Data Analytics 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 ...

FirstLight

Business Intelligence Analyst

Williston, VT · On-site

$80K - $95K/yr

Identify opportunities to improve reporting processes, data model accuracy, and overall analytics team efficiency. Qualifications: * Bachelor's degree in a quantitative field such as Business ...

New

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 interpret data and generate meaningful insights -Proficiency in tools such as Tableau, Excel, TOAD ...

Green Mountain Power

Data Engineer

Colchester, VT · On-site

$114K - $137K/yr

Data Engineer (Remote) Green Mountain Power Corporation seeks a Data Engineer to collect, clean, and analyze large, complex datasets from multiple sources, including APIs, data streams, and databases ...

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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Showing results 21-40

All JobsData Analytics JobsData Analytics Jobs in Vermont

Data Analytics information

See Vermont salary details

$26

$58

$100

How much do data analytics jobs pay per hour?

As of Aug 6, 2026, the average hourly pay for data analytics in Vermont is $58.21, according to ZipRecruiter salary data. Most workers in this role earn between $46.78 and $65.96 per hour, depending on experience, location, and employer.

What kind of jobs can you get with data analytics?

Data analytics skills can lead to roles such as data analyst, business analyst, data scientist, and data engineer. These jobs involve analyzing data to support decision-making, creating reports, and developing data models using tools like SQL, Excel, and Python or R. Strong analytical skills and knowledge of data visualization are essential for these positions.

Is a data analyst still a good career?

Data analysts remain in high demand across industries due to the increasing reliance on data-driven decision making. Strong skills in tools like Excel, SQL, and visualization software, along with certifications, can enhance job prospects and career growth in this field.

How does a data analytics professional typically collaborate with other departments within an organization?

Data Analytics professionals frequently work alongside teams such as marketing, finance, operations, and product development to identify trends, solve business problems, and inform strategic decisions. Collaboration often involves gathering data requirements, interpreting findings, and presenting actionable insights in a clear and accessible manner. Effective communication and the ability to translate technical data into business terms are essential for ensuring recommendations are implemented and drive measurable impact. Regular cross-functional meetings and project-based teamwork are common, offering opportunities to learn from other disciplines and broaden one's organizational influence.

What jobs can a data analyst do?

A data analyst can work in roles such as business analyst, data specialist, or reporting analyst, focusing on collecting, processing, and analyzing data to support decision-making. They often use tools like Excel, SQL, and data visualization software, and may work in industries like finance, healthcare, marketing, or technology. Strong analytical skills and knowledge of statistical methods are essential for these positions.

What is the work for a data analytics?

A data analyst's work involves collecting, processing, and analyzing data to identify trends, support decision-making, and improve business outcomes. They use tools like Excel, SQL, and data visualization software, and often require strong analytical skills and attention to detail.

What is data analytics?

Data analytics is the process of examining raw data to uncover trends, patterns, and insights that can inform decision-making. Professionals in this field use statistical techniques, programming, and data visualization tools to interpret complex data sets. Data analytics is applied in various industries, including business, healthcare, finance, and technology, to optimize operations, improve customer experiences, and drive strategic initiatives. The field often requires knowledge of tools like Excel, SQL, Python, and specialized analytics platforms.

What is the difference between Data Analytics vs Data Analyst?

AspectData AnalyticsData Analyst
Role FocusAnalyzing large datasets to identify trends and insightsInterpreting data, creating reports, and supporting decision-making
Skills & CertificationsStatistical skills, data visualization, tools like SQL, Python, RData visualization, Excel, SQL, basic statistical knowledge
Work EnvironmentOften in data teams, tech companies, or consulting firmsBusiness units, marketing, finance, or operations teams
Common UsageRefers to the field or disciplineRefers to the job role or position

While both roles involve working with data, Data Analytics typically refers to the broader field or discipline focused on analyzing data to extract insights. A Data Analyst is a specific job role within that field, responsible for interpreting data, creating reports, and supporting business decisions.

What are the key skills and qualifications needed to thrive as a data analytics professional, and why are they important?

To thrive as a Data Analytics professional, you need strong quantitative analysis skills, proficiency in statistics, and a relevant degree such as in mathematics, computer science, or a related field. Experience with technical tools like SQL, Python or R, data visualization platforms (e.g., Tableau, Power BI), and sometimes certifications like Google Data Analytics or Microsoft Certified: Data Analyst Associate are highly valuable. Critical thinking, problem-solving, and effective communication are essential soft skills for interpreting data and presenting findings to stakeholders. These skills and qualities are crucial for transforming raw data into actionable insights that drive business decision-making.
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 jobs in Vermont? For Data Analytics jobs in Vermont, the most frequently searched job titles are:
What job categories do people searching Data Analytics jobs in Vermont look for? The top searched job categories for Data Analytics jobs in Vermont are:
What cities in Vermont are hiring for Data Analytics jobs? Cities in Vermont with the most Data Analytics job openings:
Data Analytics jobs near you
Infographic showing various Data Analytics job openings in Vermont as of August 2026, with employment types broken down into 77% Full Time, 19% Part Time, and 4% Contract. Highlights an 100% In-person job distribution, with an average salary of $121,076 per year, or $58.2 per hour.

IT Analysis PC3 X

University of Vermont

Burlington, VT • Hybrid

Other

Posted 28 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

155th of 615 rated colleges and universities

Job description

Position Details
Advertising/Posting Title Business Process Improvement Analyst Posting Summary
The Business Process Improvement Analyst is a trusted strategic partner who leads process improvement and facilitation efforts and identifies opportunities to enhance university business processes. This role develops innovative strategies and solutions leveraging enterprise platforms (including ERP systems), data and analytics, and automation tools (including AI), and collaborates with stakeholders to ensure successful adoption of new procedures and systems.
This role plays a key role in enterprise transformation initiatives, including ERP and related enterprise platforms, and supports data-informed decision making, KPI development, and business case analysis.
Key responsibilities include understanding customer needs, documenting processes, identifying improvement opportunities, and supporting project and change management. Much of this information is sensitive or confidential and requires a high degree of discretion. The analyst will serve as a liaison between technical and functional staff, assist in creating business and technical requirements, draft documentation and training materials, and support training delivery.
Key competencies for this role:
1. Process Improvement & Facilitation
  • Lead process mapping, current-state and future-state design
  • Facilitate cross-functional workshops and stakeholder sessions
  • Guide teams through structured problem-solving and process improvement methodologies
  • Identify and prioritize opportunities for operational efficiency and service improvement
2. Enterprise Platforms & ERP
  • Experience working with or supporting enterprise platforms (e.g., Workday, Oracle, Salesforce, ServiceNow)
  • Understanding of end-to-end business processes, integrations, and cross-system workflows
  • Ability to support enterprise system implementations and optimization efforts
3. Data & Analytics
  • Develop and monitor KPIs and performance metrics
  • Experience with data visualization tools (e.g., Power BI, Tableau)
  • Working knowledge of data modeling concepts and reporting structures
  • Ability to translate data into actionable insights and decision support
4. Change Management
  • Experience applying structured change management approaches (e.g., ADKAR)
  • Ability to support stakeholder readiness, engagement, and adoption activities
  • Experience integrating change management into process improvement and system initiatives
5. Digital Tools, AI, & Automation
  • Identify opportunities to leverage AI, automation, and workflow tools (e.g., Power Automate)
  • Apply AI-enabled solutions to enhance business processes and service delivery
  • Experience evaluating and piloting emerging technologies
6. Financial & Business Analysis
  • Develop cost models, ROI analysis, and business cases
  • Support budget forecasting and financial decision-making
  • Evaluate financial implications of process and technology changes
7. Collaboration & Stakeholder Engagement
  • Proven ability to collaborate with leadership and cross-functional teams
  • Serve as a trusted partner in complex, confidential, and executive-level initiatives
8. Project Management
  • Familiarity with project methodologies (Waterfall, Agile, Hybrid)
  • Ability to manage multiple workstreams and support delivery
9. Technical Translation & Requirements Gathering
  • Lead or support requirements gathering, documentation, and validation
  • Translate business needs into technical and functional requirements
10. Training & Knowledge Sharing
  • Experience creating/updating documentation and training materials
  • Ability to support training delivery and contribute to knowledge hubs/communities of practice Mentoring colleagues in process improvement and project methodologies
11. Communication & Interpersonal Skills
  • Excellent communication and presentation skills
  • Strong critical thinking, problem-solving, and interpersonal skills
12. Adaptability, Creativity, and Teamwork
  • Demonstrated adaptability and creativity
  • Commitment to teamwork and innovation
Minimum Qualifications (or equivalent combination of education and experience)
  • Bachelor's degree in business, finance, computer science, information systems, or a related field (or equivalent combination of education, training, and experience).
  • 3-5 years of professional experience in roles such as business analyst, process analyst, financial analyst, project manager, or technical product manager.
  • Proven experience conducting business and process analysis in complex, cross-functional environments.
  • Strong analytical skills with the ability to interpret complex data.
  • Demonstrated adaptability, creativity, and commitment to teamwork and innovation.
  • Demonstrated experience in process mapping, facilitation, and business process improvement.
  • Experience working with enterprise systems or platforms (ERP experience strongly preferred).
  • Experience with data analysis and reporting tools (e.g., Power BI, Tableau, Excel analytics) .
  • Demonstrated experience supporting cross-functional initiatives in complex environments.
  • Intermediate proficiency with MS Visio, Excel, PowerPoint, Smartsheets, or comparable tools.
  • Functional understanding of business processes, enterprise software, and integrated systems.
  • Familiarity with programming and software configuration (coding not required).
  • Strong critical thinking, problem-solving, and interpersonal skills.
  • Ability to manage multiple complex tasks.
  • Excellent communication and presentation skills.
Desirable Qualifications
  • Experience with enterprise-level cloud platform implementations.
  • Professional experience in higher education.
  • Familiarity with project management methodologies (e.g., Waterfall, Agile).
  • Familiarity with change management methodologies (e.g., ADKAR)
  • Exposure to various programming, software, and systems environments.
  • Experience facilitating workshops and stakeholder sessions
  • Experience with process mapping tools (e.g., Visio, Lucidchart)
  • Experience with Power Automate or workflow automation tools
  • Experience developing KPIs, dashboards, and reporting frameworks
  • Experience supporting financial modeling, ROI analysis, and business case development
  • Experience with digital transformation or enterprise technology modernization.
  • Familiarity with AI tools for business process improvement.
  • Experience with data visualization platforms (e.g., Power BI, Tableau).
  • Exposure to platforms like Workday, Oracle, Slate, Salesforce, and ServiceNow.
Anticipated Pay Range $75,000-$81,000 Other Information
This position is dependent on the availability of designated transformation or systems project funding and is funded for a minimum of two years.
A probationary period may be required, Contingent on continued funding, Occasional evening and/or weekends required (if non-exempt position, may result in overtime), Background Check required for this position.
Special Conditions A probationary period may be 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 No
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 07/09/2026 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 IT Analysis PC3 X Posting Number S6203PO Department University Project Mgmt Office/11680 Position Number 00027634 Percent of Full-Time 1.0 Standard Hours at 1.0 FTE 37.5 Term (months per year) 12

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