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Data Analytics Jobs in Vermont (NOW HIRING)

Copley Hospital

Healthcare Quality Analyst

Morrisville, VT · On-site

$25 - $30/hr

Medical knowledge for data abstraction Education Required: * Bachelor's degree in Healthcare Administration, Public Health, Nursing, Data Analytics, or related field. Experience Required: * 2-5 years ...

The University of Vermont

VCHIP Data Manager

Burlington, VT · On-site

$55K - $65K/yr

Coordinate data collection, validation, analysis, and reporting processes for quality improvement with a focus on family, and child health and health care delivery as part of the Vermont Child Health ...

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

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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 Jul 15, 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.

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 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 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 July 2026, with employment types broken down into 88% Full Time, 6% Part Time, 4% Contract, and 2% Nights. Highlights an 88% In-person, 6% Hybrid, and 6% Remote job distribution, with an average salary of $121,076 per year, or $58.2 per hour.
Healthcare Quality Analyst

Healthcare Quality Analyst

Copley Hospital

Morrisville, VT

$25 - $30/hr

Part-time

Re-posted 3 days ago

Job description

Copley Hospital, located in Morrisville/Stowe VT, is in search of a Healthcare Quality Analyst to join our team! At the direction of the Director of Quality, the the Healthcare Quality Analyst is responsible for analyzing clinical and operational data to evaluate healthcare quality, patient outcomes, and compliance with regulatory standards. This role supports quality improvement initiatives, monitors performance metrics, and helps healthcare organizations improve patient safety, efficiency, and care outcomes.

This is a Full-Time position (PT available). 

Copley Hospital has a variety of shifts available across Full-Time, Part-Time, and Per Diem needs. Please consider applying to discuss how your availability may align.

Compensation: $25-30/hour.

The posted salary range reflects compensation for candidates with limited experience. An offer may vary based on factors such as experience, education, skills, internal equity, and market data. An offer of employment may be outside of the posted range based on those factors.


  • Collect, analyze, and interpret healthcare data related to quality metrics, patient outcomes, and utilization.
  • Monitor performance indicators such as CMS quality measures, patient safety indicators, and readmission rates.
  • Prepare reports and dashboards to communicate quality performance to leadership and clinical teams.
  • Identify trends, gaps in care, and opportunities for quality improvement initiatives.
  • Support compliance with regulatory and accreditation standards from organizations such as Centers for Medicare & Medicaid Services and National Committee for Quality Assurance.
  • Collaborate with physicians, nurses, and administrative staff to implement quality improvement programs.
  • Conduct audits and chart reviews to ensure adherence to clinical guidelines and documentation standards.
  • Track utilization patterns to ensure appropriate use of healthcare services.
  • Develop and maintain data reports
  • Support preparation for regulatory audits and accreditation surveys.

Skill Required:

  • Healthcare data analysis
  • Quality improvement methodologies (Lean, Six Sigma, PDSA)
  • Regulatory compliance and accreditation standards
  • Report writing and dashboard development
  • Communication and collaboration with clinical teams
  • Medical knowledge for data abstraction

Education Required:

  • Bachelor’s degree in Healthcare Administration, Public Health, Nursing, Data Analytics, or related field.

Experience Required:

  • 2–5 years of experience in healthcare quality, utilization management, or healthcare analytics
  • Knowledge of healthcare quality measures and reporting systems
  • Strong analytical and data interpretation skills
  • Proficiency in data analysis tools and reporting software

Apply