1

Data Analyst Data Science Jobs in Vermont (NOW HIRING)

NGA AI Engineer Manager

Montpelier, VT

$73K - $244K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Those in data science and machine learning engineering at PwC will focus on leveraging advanced analytics and machine learning techniques to extract insights from large datasets and drive data-driven ...

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 ...

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 ...

We collect data where automation is not possible. We count features, take pictures, make videos ... reviewing applications, analyzing resumes, or assessing responses and identifying potential ...

We collect data where automation is not possible. We count features, take pictures, make videos ... reviewing applications, analyzing resumes, or assessing responses and identifying potential ...

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

Showing results 41-60

Data Analyst Data Science information

What does a data analyst in data science do?

A Data Analyst in Data Science collects, processes, and analyzes large sets of data to help organizations make informed decisions. They use statistical techniques and data visualization tools to identify trends, patterns, and insights from data. Their responsibilities often include cleaning data, creating reports, and communicating findings to stakeholders. Data Analysts play a key role in helping businesses optimize operations, understand customer behavior, and solve complex problems using data-driven approaches.

What are the key skills and qualifications needed to thrive as a data analyst in data science?

To thrive as a Data Analyst in Data Science, you need strong analytical skills, proficiency in statistics, and a relevant degree such as in mathematics, computer science, or a related field. Familiarity with tools like SQL, Python or R, and data visualization platforms such as Tableau or Power BI, along with industry-recognized certifications, is highly valued. Attention to detail, problem-solving abilities, and effective communication skills help you interpret data insights and convey findings to stakeholders. These skills are crucial for transforming raw data into actionable intelligence that drives strategic business decisions.

How do data analysts in data science typically collaborate with other departments or teams?

Data Analysts in Data Science frequently work cross-functionally, partnering with teams such as engineering, product management, marketing, and business intelligence. They translate complex data findings into actionable insights and tailor their communication to both technical and non-technical stakeholders. Regular collaboration may involve participating in meetings to understand business needs, designing dashboards for different teams, and providing data-driven recommendations to support company objectives. This collaborative environment not only enhances project outcomes but also fosters continuous learning and professional growth.

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

AspectData Analyst Data ScienceData Engineer
Required SkillsStatistics, programming (Python, R), data visualizationDatabase systems, ETL pipelines, programming (Python, Java)
Work EnvironmentAnalyzing data, building models, reportingBuilding and maintaining data infrastructure
CertificationsData Science certifications, SQL, PythonCloud certifications, database management
Industry UsageBusiness analysis, predictive modelingData infrastructure, big data systems

Data Analyst Data Science focuses on analyzing data and creating models to inform decisions, while Data Engineers build the systems that collect, store, and process data. Both roles require programming skills and often overlap in tools like Python and SQL, but their core responsibilities differ significantly.

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

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

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

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

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

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

Data Engineer with Security Clearance

Thomson Reuters Special Services LLC

Burlington, VT • On-site

$112K - $135K/yr

Other

Re-posted 7 days ago


Job description

Job Description
Summary and Description Thomson Reuters Special Services (TRSS) is looking for a Data Engineer to support our Federal Law Enforcement customers. TRSS Data Engineers and Data Scientists serve several Federal Law Enforcement agencies by collecting, integrating, resolving, analyzing, modeling, and explaining large data in support of complex investigations. Success in this role requires strong technical depth, the initiative to operate with minimal direction, creativity to develop novel solutions, and a mission-focused mindset. TRSS supports the full range of Federal Law Enforcement missions including, but not limited to: Immigration Enforcement, Emerging Threat Detection, Money Laundering, Fraud, Force Protection, Human Rights Crimes, Transnational Crime, and more. Outside of contract work, you may contribute to internal innovation by participating in research and development (R&D), developing and maintaining shared capabilities, strengthening technical skills, and supporting business development efforts such as proof-of-concept projects and capabilities briefings. This opportunity is specifically for positions located on US Government customer sites in the Burlington, VT area. This is not a telework position. If you are passionate about the chance to put your skills to practice in support of Federal Law Enforcement, then we are looking for you! ​ About the Role A successful candidate must possess the following minimum qualifications. Please ensure your resume and application clearly demonstrate that you have: United States Citizenship (essential to comply with government contract requirements). Ability to obtain and maintain a U.S. security clearance or agency work suitability determination, as required by assignment. Willingness to work full time, on-site, embedded at US Government offices in the Burlington, VT area. Bachelor’s or Master’s Degree in a technical field At least 3 years of relevant experience, including some combination of: Proficiency in at least one programming language (Python, Java, R, etc), including creating programs for ETL, data pipelines, and entity resolution Proficiency in multiple variants of SQL, including complex queries, table and view creation, and database performance tuning Experience with managing enterprise databases and warehouses, particularly MS SQL Server, Databricks, Snowflake Data modeling across disparate data sources with a variety of formats and structures Ability to interface directly with customers at all levels and be a representative of TRSS. Ability to handle sensitive, confidential, or regulated data in accordance with applicable policies and requirements. Ability to work both independently and as a member of a team. Ability to interpret customer requests and/or problem statements into clear project plans, develop project goals and methods, and deliver actionable results within required timeframes. Additional Desired Skills Experience with Cloud data platforms (Azure, AWS, Snowflake, etc.) Experience with formal SDLC (Software Development Life Cycle) procedures Experience with version control software and methodology, preferably Github About you:​ Preference will be given to candidates who possess the minimum qualifications and the following preferred qualifications. Please ensure your resume and application clearly demonstrate that you have: Current/Active government work suitability or security clearance. Experience working with law enforcement agencies. Programming skills in multiple languages other than Python (Python is a minimum requirement) including R, Java, or SQL. Experience with software development, including managing collaborative codebases, version control, linting/testing, containerization, and interacting with REST APIs.