2

Entry Level Data Analysis Jobs in Vermont (NOW HIRING)

$15.25 - $20.50/hr

The internship program at FTI Consulting serves as a key pathway to entry-level consultant ... Business, Computer Forensics, Cybersecurity, Data Analytics, Data Science, Digital Forensics ...

2027 Intern - Technology

Essex Junction, VT · On-site

$15.25 - $20.25/hr

The internship program at FTI Consulting serves as a key pathway to entry-level consultant ... Business, Computer Forensics, Cybersecurity, Data Analytics, Data Science, Digital Forensics ...

2027 Intern - Technology

Essex Junction, VT · On-site

$15.25 - $20.25/hr

The internship program at FTI Consulting serves as a key pathway to entry-level consultant ... Business, Computer Forensics, Cybersecurity, Data Analytics, Data Science, Digital Forensics ...

$15 - $20/hr

The internship program at FTI Consulting serves as a key pathway to entry-level consultant ... Business, Computer Forensics, Cybersecurity, Data Analytics, Data Science, Digital Forensics ...

Showing results 21-40

Entry Level Data Analysis information

See Vermont salary details

$14

$35

$65

How much do entry level data analysis jobs pay per hour?

As of Sep 7, 2026, the average hourly pay for entry level data analysis in Vermont is $35.01, according to ZipRecruiter salary data. Most workers in this role earn between $22.50 and $39.09 per hour, depending on experience, location, and employer.

What is an entry level data analyst?

An entry level data analyst is a professional who collects, processes, and performs basic analysis on data to help organizations make informed decisions. They typically work with tools like Excel, SQL, or data visualization software to organize and interpret data sets. Entry level analysts focus on tasks such as cleaning data, creating reports, and identifying trends, usually under the supervision of more experienced analysts. This role is ideal for recent graduates or individuals starting their career in data analysis.

What are some common challenges entry-level data analysts face when starting out, and how can they overcome them?

Entry-level data analysts often encounter challenges such as learning new data tools, understanding unfamiliar datasets, and translating business questions into analytical tasks. It's common to feel overwhelmed by the variety of software (like Excel, SQL, or Python) and the pace of real-world projects. To overcome these hurdles, new analysts should proactively seek mentorship, participate in team discussions, and take advantage of online resources or internal training. Regular collaboration with colleagues and asking clarifying questions can help build confidence and ensure successful project contributions.

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

To thrive as an Entry Level Data Analyst, you need foundational knowledge in statistics, data interpretation, and a relevant degree such as in mathematics, economics, or computer science. Familiarity with tools like Microsoft Excel, SQL, and data visualization platforms such as Tableau or Power BI is typically required. Strong analytical thinking, problem-solving abilities, and clear communication help you extract meaningful insights and present findings effectively. These skills are crucial for transforming raw data into actionable information that supports informed business decisions.

What is the difference between Entry Level Data Analysis vs Data Analyst?

AspectEntry Level Data AnalysisData Analyst
Required CredentialsAssociate's degree or relevant certificationBachelor's degree often preferred
Work EnvironmentInternships, entry-level roles, training programsFull-time positions in various industries
Employer & Industry UsageStart of career, learning phaseMid-level roles, more responsibilities
Common Search & Comparison IntentUnderstanding entry-level opportunitiesAdvancement and skill development

Entry Level Data Analysis roles are designed for beginners with minimal experience, focusing on learning foundational skills. Data Analysts typically have more experience, handle complex data projects, and contribute to strategic decision-making. The main difference lies in experience level, responsibilities, and career progression.

What are the most commonly searched types of Data Analysis jobs in Vermont?

The most popular types of Data Analysis jobs in Vermont are:

What are popular job titles related to Entry Level Data Analysis jobs in Vermont?

For Entry Level Data Analysis jobs in Vermont, the most frequently searched job titles are:

What job categories do people searching Entry Level Data Analysis jobs in Vermont look for?

The top searched job categories for Entry Level Data Analysis jobs in Vermont are:

What cities in Vermont are hiring for Entry Level Data Analysis jobs?

Cities in Vermont with the most Entry Level Data Analysis job openings:

Infographic showing various Entry Level Data Analysis 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 $72,819 per year, or $35 per hour.

SiGe HBT Device Modelling Intern (Summer 2027)

GlobalFoundries

Essex Junction, VT • On-site

$20 - $40/hr

Full-time

Posted 12 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 546 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. For more information, visit www.gf.com.
Internship Program Overview:
Our Interns & Co-ops are our entry-level talent pipeline for GF across the globe. Our goal is to provide students with a meaningful work experience that will equip them with the skills to embark on a career in the fast-paced and growing semiconductor industry after graduation. As an intern at GF, you'll experience one-on-one mentorship, work assignments that prioritize your growth and potential, professional development opportunities, and the chance to network with executives.
Summary of Role:
In this position, the device modelling intern will collaborate with an RF device modeling team to develop device modeling capabilities for advanced semiconductor SiGe HBT devices. The responsibilities include applying device physics principles, characterizing devices using DC/RF methods, and utilizing the advanced HiCUM L2 V3.0 industry standard model to create compact models for RF applications. Additionally, modeling effects such as avalanche at high current densities and non-quasistatic phenomena will be compared with measurement data.
Essential Responsibilities include:
  • Analyze measurement data for DC and RF characteristics.
  • Develop HiCUM L2 V3.0 based compact model for HBT device.
  • Extract compact model parameters for advanced device physics.
  • Develop a procedure to incorporate new physical effects in the compact model and propose new models/modeling methods if applicable.
  • Presentation to technical team after the project completion.

Other Responsibilities:
  • Perform all activities in a safe and responsible manner and support all Environmental, Health, Safety & Security requirements and programs.

Required Qualifications:
  • Education - At least a second-year graduate student at time of application and actively pursuing a Master's, or PhD in Electrical Engineering, Microelectronics or related field through an accredited degree program during the time of internship.
  • Must have at least an overall 3.5 GPA and be in good academic standing.
  • Language Fluency - English (Written & Verbal)
  • Ability to work at least 20 to 40 hours per week during the internship.

Preferred Qualifications:
  • Prior related internship or co-op experience
  • Demonstrated prior leadership experience in the workplace, school projects, competitions, etc.
  • Project management skills, i.e., the ability to innovate and execute on solutions that matter; the ability to navigate ambiguity.
  • Strong written and verbal communication skills
  • Strong planning & organizational skills
  • Semiconductor device physics / characterization knowledge
  • Familiarity of Device Compact models
  • Familiarity with industry standard compact model: High Current Model (HiCUM)
  • Familiarity with design simulation tools such as Cadence Spectre or Keysight ADS
  • Familiarity with Design Layout using the Cadence Virtuosa, ADS or other design tools
  • Data analysis and problem solving
  • Knowledge with shell scripting, multi-paradigm (Matlab/R) and high-level programming languages (Python/Perl/Lisp)

#InternshipProgramUS
Expected Salary Range
$20.00 - $40.00
Expected Salary Range
$0.00 - $0.00
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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