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Assistant Data Analyst Jobs in Vermont (NOW HIRING)

Pearson

Specialist, Data Scientist

Montpelier, VT · On-site

$125 - $140/hr

You will analyze structured and unstructured data, develop statistical and machine learning ... * Assist in the development and evaluation of prompts, knowledge retrieval strategies, model ...

State of Vermont

Business Analyst

Waterbury Center, VT · On-site

This position works collaboratively with operational leadership, system developers, data teams ... Serve as testing lead for DOC operational systems, assist system integration, and coordinate user ...

State of Vermont

Business Analyst

Waterbury, VT · On-site

$70 - $95/hr

This position works collaboratively with operational leadership, system developers, data teams ... Serve as testing lead for DOC operational systems, assist system integration, and coordinate user ...

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All JobsData Analyst JobsAssistant Data Analyst JobsAssistant Data Analyst Jobs in Vermont

Assistant Data Analyst information

See Vermont salary details

$29.8K

$76.2K

$145.7K

How much do assistant data analyst jobs pay per year?

As of Sep 3, 2026, the average yearly pay for assistant data analyst in Vermont is $76,206.00, according to ZipRecruiter salary data. Most workers in this role earn between $52,100.00 and $88,800.00 per year, depending on experience, location, and employer.

What does an assistant data analyst do?

An Assistant Data Analyst supports data collection, cleaning, and analysis tasks to help organizations make informed decisions. They work under the guidance of senior analysts to prepare reports, visualize data trends, and ensure the accuracy of data sets. Their responsibilities may include using tools like Excel, SQL, or Python to process data, as well as communicating findings to different departments. Assistant Data Analysts play a crucial role in ensuring that data-driven projects run smoothly and efficiently.

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

To thrive as an Assistant Data Analyst, you need a solid understanding of statistics, data interpretation, and proficiency in data management, usually backed by a degree in a quantitative field. Familiarity with tools like Microsoft Excel, SQL, and data visualization platforms such as Tableau or Power BI is typically required. Strong attention to detail, problem-solving abilities, and effective communication skills help you stand out in this role. These competencies ensure accurate data analysis, clear reporting, and valuable insights that support informed business decisions.

What are some common challenges an assistant data analyst might face when starting in this role?

Assistant Data Analysts often encounter challenges related to handling large datasets, learning new analytical tools, and ensuring data accuracy. Adjusting to the fast-paced environment where priorities can shift quickly is also common, as is collaborating with various departments to gather relevant data. Over time, gaining familiarity with organizational data sources and building strong communication with senior analysts helps overcome these initial hurdles.

What is the difference between Assistant Data Analyst vs Data Analyst?

AspectAssistant Data AnalystData Analyst
Required CredentialsBachelor's degree in related field, basic knowledge of data toolsBachelor's or higher, proficiency in data analysis software
Work EnvironmentSupportive team, entry-level tasks, supervised rolesIndependent analysis, project ownership, more complex tasks
Employer & Industry UsageEntry-level roles across industries like finance, healthcare, marketingMid-level roles, often with more responsibility and specialization

The main difference between an Assistant Data Analyst and a Data Analyst lies in experience and responsibility. Assistant Data Analysts typically handle basic data tasks under supervision, while Data Analysts perform more complex analysis independently. Both roles require similar educational backgrounds, but Data Analysts usually have more experience and technical skills.

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 are popular job titles related to Assistant Data Analyst jobs in Vermont?

For Assistant Data Analyst jobs in Vermont, the most frequently searched job titles are:

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

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

What cities in Vermont are hiring for Assistant Data Analyst jobs?

Cities in Vermont with the most Assistant Data Analyst job openings:

Assistant Data Analyst jobs near you
Infographic showing various Assistant Data Analyst job openings in Vermont as of August 2026, with employment types broken down into 1% As Needed, 86% Full Time, 11% Part Time, and 2% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $76,206 per year, or $36.6 per hour.

INFORMATION SYSTEM DATA ANALYST

NORTHEAST KINGDOM HUMAN SERVICES INC

Newport, VT • On-site, Remote

$24.96 - $33.78/hr

Full-time

Medical, Dental, Life, Retirement, PTO

Posted 12 days ago

Job description

Data Analyst
Full-Time | Hybrid (potential for remote)

The Data Analyst plays an important role on the Analytics Team at Northeast Kingdom Human Services (NKHS) by supporting agency-wide data needs. Under the supervision of the Data Scientist, this position is responsible for gathering, cleaning, analyzing, and reporting on data from NKHS’s electronic medical record (EMR) system and other sources. The Data Analyst works collaboratively with clinical and administrative teams to ensure data is accurate, meaningful, and supports informed decision-making across the organization. 

Primary Responsibilities include, but are not limited to:
• Extract, clean, analyze, and summarize data from multiple sources
• Prepare reports and data summaries for a variety of audiences
• Create dashboards and visualizations to highlight key metrics and trends
• Collaborate with the Quality Improvement team to monitor data quality and accuracy
• Support recurring and ad hoc reporting needs
• Contribute to the development and standardization of data analysis and data management best practices
• Assist the Data Scientist with statistical modeling projects, including data preprocessing, visualization, and validation of results
• Maintain compliance with data privacy, security, and ethical standards

Position Qualifications:
• Bachelor’s degree in Statistics, Mathematics, Computer Science, or a related field
• One to three (1–3) years of experience in data analysis or a related field
• Strong proficiency in SQL
• Advanced Excel skills
• Proficiency in a programming language used for data analysis (e.g., R or Python)
• Experience with data visualization tools such as Tableau or Power BI
• Familiarity with version control systems such as Git
• Understanding of basic statistical theory and data analysis techniques
• Strong problem-solving skills and attention to detail
• Ability to communicate data findings to both technical and non-technical audiences
• Experience with non-profit, social impact, or human services organizations preferred
• Experience with program evaluation or impact assessment preferred

Applicants must be authorized to work for ANY employer in the U.S. We are unable to sponsor or take over sponsorship of an employment Visa at this time.

SALARY & BENEFITS
• Hourly rate: $24.96 – $33.78, based on experience
• Competitive benefits package including low-cost medical and dental insurance
• 403(b) retirement plan with Agency contribution and match
• Generous paid time off, sick leave, and paid holidays
• Tuition assistance, continuing education reimbursement, and loan repayment opportunities
• Employee wellness program
• Life insurance, short- and long-term disability coverage, AFLAC, and Employee Assistance Program

NKHS is proud to be an equal opportunity employer and is committed to fostering a diverse, inclusive, and supportive workplace.

Apply