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Sql Data Analyst Jobs in Vermont (NOW HIRING)

Green Mountain Transit

Transit Data Analyst

Burlington, VT · On-site

$53K - $63K/yr

Description and Essential Functions Responsible for collecting, analyzing, and managing transit data to support service planning, operational performance, and organizational decision-making across ...

Trioptus

Data Engineer SOW RFP VT

Waterbury, VT · On-site

$114K - $137K/yr

Analyze legacy MySQL and Microsoft SQL Server databases to identify tables, relationships, keys, and business logic * Reverse engineer undocumented schemas and reconstruct detailed data dictionaries

Diverse Lynx

AWS Cloud Data Lake Lead

Cambridge, VT · On-site

... SQL for data analysis and pipeline development. • Proficiency with Git, branching strategies, and code review practices. • Lead and manage a team of 6 data scientists, ML engineers, and analytics ...

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All JobsSql Data Analyst JobsSql Data Analyst Jobs in Vermont

Sql Data Analyst information

See Vermont salary details

$22.9K

$93.1K

$135K

How much do sql data analyst jobs pay per year?

As of Aug 24, 2026, the average yearly pay for sql data analyst in Vermont is $93,112.00, according to ZipRecruiter salary data. Most workers in this role earn between $77,100.00 and $106,300.00 per year, depending on experience, location, and employer.

What is an SQL data analyst?

An SQL Data Analyst is a professional who uses SQL (Structured Query Language) to extract, analyze, and interpret data stored in relational databases. They transform raw data into actionable insights by writing queries, creating reports, and visualizing trends to support business decision-making. SQL Data Analysts also help ensure data quality, optimize database performance, and collaborate with other teams to meet organizational goals.

What does an SQL data analyst do?

A SQL data analyst is a data scientist that uses the SQL language to interpret data. This analysis is used to improve business information and provide new insights to managers. Your primary responsibilities revolve around creating these analysis reports, but SQL analytical skills are in demand in many different industries, so specific duties can vary. In many positions, you may be tasked with database upkeep as well, developing infrastructure that increases system efficiency. Regarding academic qualifications, this career requires a bachelor’s degree in either computer science, electrical engineering, information technology, or statistics. Most aspiring SQL analysts gain experience through internships while pursuing their degree.

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

To thrive as a SQL Data Analyst, a strong command of SQL, data modeling, and statistical analysis is essential, often supported by a degree in computer science, statistics, or a related field. Familiarity with database management systems like Microsoft SQL Server or MySQL, as well as tools such as Excel, Tableau, or Power BI, is typically required, and certifications like Microsoft Certified: Data Analyst Associate can be advantageous. Analytical thinking, attention to detail, and effective communication stand out as key soft skills for interpreting data and explaining results to stakeholders. These competencies enable accurate data-driven decision-making, efficient data management, and clear insights that support organizational goals.

How does a SQL data analyst typically collaborate with cross-functional teams to deliver insights?

As a SQL Data Analyst, collaboration with cross-functional teams such as product managers, engineers, and business stakeholders is a key part of the role. Analysts often gather requirements from these teams, translate business questions into data queries, and present actionable insights through reports or dashboards. Regular meetings and clear communication are essential to ensure that analysis aligns with business objectives and that results are understood and actionable. This collaborative approach not only improves data-driven decision-making but also provides analysts with valuable context, enhancing the impact of their work.

What is the difference between Sql Data Analyst vs Data Engineer?

AspectSql Data AnalystData Engineer
Required SkillsSQL, data visualization, reportingSQL, programming, data pipeline development
CertificationsSQL certifications, data analysis coursesCloud certifications, programming certifications
Work EnvironmentBusiness intelligence teams, data analysis departmentsData infrastructure teams, software engineering environments
Industry UsageFinance, marketing, healthcareTech, finance, large-scale data platforms

Sql Data Analysts focus on interpreting data, creating reports, and visualizations using SQL. Data Engineers build and maintain data pipelines and infrastructure to support data analysis. While both roles require SQL skills, Data Engineers typically have programming expertise and work on data architecture, whereas Sql Data Analysts concentrate on analyzing and presenting data insights.

Do data analysts still use SQL?

Yes, data analysts still use SQL as a fundamental tool for extracting, managing, and analyzing data from relational databases. Proficiency in SQL is often essential for performing data queries, creating reports, and supporting data-driven decision-making in many organizations.

Do data analysts still use SQL?

Yes, data analysts still use SQL as a fundamental tool for extracting, managing, and analyzing data from relational databases. Proficiency in SQL is often required for data analysis roles, alongside skills in data visualization and statistical tools.

Does SQL pay well?

Data analysts who use SQL often earn competitive salaries, especially with experience and proficiency in database management, data visualization, and analytics tools. Salaries vary by industry and location but generally reflect the demand for data skills in the job market.

Is SQL high demand?

SQL Data Analysts are in high demand across many industries due to the widespread need for data management and analysis. Proficiency in SQL, along with skills in data visualization and database management, can lead to strong job prospects and competitive salaries.

Will AI replace a data analyst?

AI can automate routine data processing and basic analysis tasks, but data analysts play a crucial role in interpreting complex data, providing insights, and making strategic decisions. Skills in SQL, data visualization, and critical thinking remain essential, as AI tools are used to augment rather than replace human judgment in data analysis.
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Sql Data Analyst jobs near you
Infographic showing various Sql Data Analyst job openings in Vermont as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 15% Part Time, and 2% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $93,112 per year, or $44.8 per hour.

INFORMATION SYSTEM DATA ANALYST

Northeast Kingdom Human Services

Newport, VT • On-site

$24.96 - $33.78/hr

Other

Medical, Dental, Life, Retirement, PTO

Posted 3 days ago

New

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