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Analytics Engineer Jobs in Burlington, VT (NOW HIRING)

Hayward Tyler

Design Engineer

Colchester, VT · On-site

Performing the duties of this role requires well-developed analytical skills that can be applied to ... Engineers in this role will be expected to apply engineering fundamentals and use their broad ...

Hayward Tyler

Senior Design Engineer

Colchester, VT · On-site

Works with Lead Engineers and Project managers to understand and prioritize assigned work. Provides ... The analyses may include but are not limited to stress/structural analyses, frequency analyses ...

LMS

Systems Engineer

Fairfax, VT · On-site

As a Systems Engineer, you'll help design fuel system components for some of the world's leading ... Create detailed design documentation and conduct analyses for complex systems. * Be highly self ...

PRECI MANUFACTURING INC

Manufacturing Engineer

Winooski, VT · On-site

$75K - $90K/yr

Manufacturing Engineer Winooski, VT | Full-Time | Monday-Friday $75,000-$90,000 per year, based on ... Strong analytical and hands-on problem-solving skills, including root-cause analysis and corrective ...

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Analytics Engineer information

What is an analytics engineer?

An Analytics Engineer is a professional who bridges the gap between data engineering and data analysis. They are responsible for designing, building, and maintaining data models, pipelines, and analytics tools that enable organizations to make data-driven decisions. Analytics Engineers often work closely with data analysts and business stakeholders to ensure clean, reliable, and well-structured data is available for reporting and analysis. Their work typically involves using SQL, data transformation tools like dbt, and cloud data warehouses to create scalable and efficient data solutions.

How does an analytics engineer typically collaborate with data scientists and business stakeholders on projects?

Analytics Engineers play a critical bridge role between data engineering and data analysis. They work closely with data scientists to transform raw data into clean, reliable datasets that are ready for advanced analytics or modeling. At the same time, they collaborate with business stakeholders to understand reporting needs, ensuring that data models align with business goals. Regular communication and iterative feedback are key, as Analytics Engineers often gather requirements, build data pipelines, and adjust data products based on stakeholder input.

What are the key skills and qualifications needed to thrive as an analytics engineer, and why are they important?

To thrive as an Analytics Engineer, you need a strong foundation in data modeling, SQL, and analytics engineering principles, often supported by a degree in computer science, data science, or a related field. Proficiency with data transformation tools such as dbt, cloud data warehouses like Snowflake or BigQuery, and version control systems like Git is essential. Strong problem-solving skills, communication, and collaboration abilities help translate business needs into scalable data solutions and foster teamwork. These skills and qualities are crucial for ensuring data quality, building reliable analytics infrastructure, and enabling data-driven decision-making across organizations.

What is the difference between Analytics Engineer vs Data Engineer?

AspectAnalytics EngineerData Engineer
CredentialsOften requires SQL, Python, data modeling certificationsRequires similar skills, often with additional focus on infrastructure and systems
Work EnvironmentFocuses on data analysis, visualization, and reportingBuilds data pipelines, manages data infrastructure
Industry UsageCommon in analytics teams, BI, and data-driven rolesPrevalent in data engineering, data platform teams

While both roles work closely with data, Analytics Engineers primarily focus on transforming data for analysis and visualization, whereas Data Engineers build the infrastructure and pipelines that enable data access. Understanding these differences helps in choosing the right career path or job role.

Do analytics engineers make good money?

Analytics engineers typically earn competitive salaries that vary by experience, location, and industry. They often have skills in SQL, data modeling, and tools like Python or Spark, which can contribute to higher compensation. Overall, the role is considered well-paying within the data and analytics field.

What do analytics engineers do?

Analytics engineers design, build, and maintain data pipelines and infrastructure to enable data analysis and reporting. They work with tools like SQL, Python, and data warehouses to ensure data is accurate, accessible, and well-structured for business insights.

What job categories do people searching Analytics Engineer jobs in Burlington, VT look for?

The top searched job categories for Analytics Engineer jobs in Burlington, VT are:

Analytics Engineer jobs near you
Infographic showing various Analytics Engineer job openings in Burlington, VT as of August 2026, with employment types broken down into 89% Full Time, 8% Part Time, and 3% Contract. Highlights an 84% Physical, 5% Hybrid, and 11% Remote job distribution.

Failure Analysis Engineer (2027 New College Graduate)

GlobalFoundries

Essex Junction, VT • On-site

$58K - $100K/yr

Full-time

Posted 7 days ago

GlobalFoundries rating

8.3

Company rating: 8.3 out of 10

Based on 35 frontline employees who took The Breakroom Quiz

65th of 544 rated manufacturers

Job description

About GlobalFoundries
GlobalFoundries (GF) is a leading manufacturer of essential semiconductors, enabling AI at scale from the cloud to the physical world. Through deep partnerships with customers, GF delivers differentiated, power-efficient and high-performance solutions for high-growth markets. With global manufacturing operations across the U.S., Europe and Asia, GF is a trusted and holistic technology partner for customers around the world. GF's talented, global team remains focused every day on security, longevity and sustainability.
Summary of Role
GlobalFoundries Fab 9 is seeking a New College Graduate Failure Analysis Engineer to join our advanced analytical laboratory in Essex Junction, Vermont. In this role, you will support semiconductor manufacturing, yield improvement, and root-cause investigations through failure analysis techniques, materials characterization, and data-driven problem solving while developing expertise in advanced analytical methods and semiconductor process technologies.
Essential Responsibilities
  • Support failure analysis investigations for yield, reliability, and manufacturing challenges using analytical techniques including Secondary Ion Mass Spectrometry (SIMS).
  • Analyze characterization data, interpret results, and communicate findings to engineering and manufacturing teams.
  • Collaborate with cross-functional teams to develop investigation strategies, optimize analytical methods, and improve process understanding.
  • Develop technical expertise in semiconductor materials analysis, failure mechanisms, and advanced laboratory equipment through hands-on training and mentorship.

Required Qualifications
  • Education - Graduating with a Bachelor's degree in Materials Science Engineering, Chemical Engineering, Physics, Electrical Engineering, Mechanical Engineering, Semiconductor Engineering, or a related technical discipline from an accredited degree program.
  • Must have at least an overall 3.0 GPA and proven good academic standing.
  • Language Fluency - English (Written & Verbal).
  • Travel - Up to 10%.

Preferred Qualifications
  • Prior internship, co-op, undergraduate research, or laboratory experience related to semiconductor processing, materials characterization, or failure analysis.
  • Strong interest in leveraging AI tools and emerging technologies to enhance productivity, streamline workflows, and support effective decision-making.
  • Experience with materials characterization techniques such as SIMS, SEM, EDX, optical microscopy, spectroscopy, or related analytical methods.
  • Demonstrated leadership experience through coursework, student organizations, research projects, competitions, or other activities.
  • Strong analytical, problem-solving, and data interpretation skills.
  • Experience working in a laboratory, cleanroom, semiconductor, or manufacturing environment.
    #NCGProgramUS

Expected Salary Range
$58,400.00 - $100,800.00
The exact Salary will be determined based on qualifications, experience and location.
If you need a reasonable accommodation for any part of the employment process, please contact us by email at usaccommodations@gf.com and let us know the nature of your request and your contact information. Requests for accommodation will be considered on a case-by-case basis. Please note that only inquiries concerning a request for reasonable accommodation will be responded to from this email address.
An offer with GlobalFoundries is conditioned upon the successful completion of pre-employment conditions, as applicable, and subject to applicable laws and regulations.
GlobalFoundries is fully committed to equal opportunity in the workplace and believes that cultural diversity within the company enhances its business potential. GlobalFoundries goal of excellence in business necessitates the attraction and retention of highly qualified people. Artificial barriers and stereotypic biases detract from this objective and may be illegally discriminatory.
All policies and processes which pertain to employees including recruitment, selection, training, utilization, promotion, compensation, benefits, extracurricular programs, and termination are created and implemented without regard to age, ethnicity, ancestry, color, marital status, medical condition, mental or physical disability, national origin, race, religion, political and/or third-party affiliation, sex, sexual orientation, gender identity or expression, veteran status, or any other characteristic or category specified by local, state or federal law

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