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Weekend Data Analyst Jobs in Williston, VT (NOW HIRING)

HVAC Specialist I

Burlington, VT · On-site

$90 - $120/hr

... Energy department to analyze store conditions through energy management systems (EMS) data ... Must be able to be on-call after hours and weekends for emergencies. Core Competencies Demonstrates ...

New

Flexibility to work overtime and weekend as needed is required. What you will do: Safety * Actively ... Analysis * Corrective Action & Preventive Action events. Delivery * Interpret data collected via ...

The position is full-time (80 hours bi-weekly), generally 9p-7:00a Monday- Thursdays (weekends as ... Control procedures on analytical tests, instruments, re-agents, media and other products ...

Monitor performance metrics and financial data to assess and improve operational effectiveness ... Proficient in financial performance analysis. * Success in developing and maintaining customer ...

Monitor performance metrics and financial data to assess and improve operational effectiveness ... Proficient in financial performance analysis. * Success in developing and maintaining customer ...

Sustainability PC3 X

Burlington, VT · On-site +1

$65K - $80K/yr

They develop reports, presentations, and data visualizations for internal and public audiences ... Experience completing financial analysis of projects. Experience working with centralized or ...

Territory Manager

Burlington, VT · On-site

$62K - $75K/yr

Monitor performance metrics and financial data to assess and improve operational effectiveness ... Proficient in financial performance analysis. * Success in developing and maintaining customer ...

Monitor performance metrics and financial data to assess and improve operational effectiveness ... Proficient in financial performance analysis. * Success in developing and maintaining customer ...

Cookie Crew

Burlington, VT · On-site

$16/hr

... weekends and holidays Legally eligible to work in the United States We may use artificial ... If you would like more information about how your data is processed, please contact us. apply for ...

Cookie Crew

Burlington, VT · On-site

$16/hr

... nights, weekends and holidays • Legally eligible to work in the United States We may use ... If you would like more information about how your data is processed, please contact us.

Showing results 41-60

Weekend Data Analyst information

See Williston, VT salary details

$35.1K

$85.2K

$140.3K

How much do weekend data analyst jobs pay per year?

As of Aug 20, 2026, the average yearly pay for weekend data analyst in Williston, VT is $85,235.00, according to ZipRecruiter salary data. Most workers in this role earn between $64,500.00 and $100,000.00 per year, depending on experience, location, and employer.

What is a weekend data analyst?

Weekend Data Analysts are professionals who specialize in collecting, processing, and analyzing data during weekends. They often work in industries that require continuous data monitoring or reporting, such as retail, finance, or customer service. Their responsibilities include preparing reports, identifying trends, and supporting decision-making processes outside of regular business hours. This role is ideal for organizations that need real-time data analysis or have operations extending through weekends.

What does a weekend data analyst do?

As a weekend data analyst, you work part-time and use analysis techniques to research trends and discover useful information from data. This job emphasizes getting results and creating reports from data, although the specific responsibilities of this position vary depending on the employer's needs. One of the most common duties of this job is working over the weekend to process data gained throughout the week to prepare a report summarizing the activity for that period. Companies that operate seven days a week often employ weekend data analysts to continue any data analysis tasks from earlier in the week, allowing the organization to function with no interruptions in its data analysis activities.

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

To thrive as a Weekend Data Analyst, you need a strong background in statistical analysis, data interpretation, and a relevant degree in fields such as mathematics, statistics, or computer science. Familiarity with analytical tools like Excel, SQL, Python, or data visualization platforms such as Tableau is typically required. Attention to detail, problem-solving abilities, and effective communication are crucial soft skills for clearly presenting insights and collaborating remotely. These skills ensure timely, accurate analysis and enable data-driven decisions during weekend operations.

What does a typical weekend shift look like for a weekend data analyst, and how do responsibilities differ from weekday analysts?

As a Weekend Data Analyst, you’ll often work independently or with a smaller team, focusing on real-time data monitoring, reporting, and rapid issue escalation. Weekend shifts can involve handling time-sensitive data tasks, supporting ongoing operations, and preparing summary reports for weekday teams. While core analytical skills remain the same, you may need to troubleshoot urgent data anomalies and ensure smooth handovers to weekday analysts. This role is ideal for individuals comfortable with autonomy and proactive communication.

What is the difference between Weekend Data Analyst vs Part-Time Data Analyst?

AspectWeekend Data AnalystPart-Time Data Analyst
CredentialsBachelor's in Data Science, Statistics, or related field; often some experienceSimilar credentials; may require less experience or specific certifications
Work EnvironmentTypically on-site or remote, working during weekends or specific hoursFlexible hours, can work weekdays or weekends, often remote
Employer & IndustryBusinesses needing weekend analysis, retail, healthcare, or financeVarious industries, including retail, marketing, and consulting
Search & Comparison IntentLooking for weekend-specific data rolesSeeking flexible or part-time data analysis jobs

The Weekend Data Analyst and Part-Time Data Analyst roles share similar credentials and work environments but differ mainly in scheduling. Weekend Data Analysts focus on weekend-specific hours, often for businesses needing weekend support, while Part-Time Data Analysts have flexible hours across the week. Both roles suit candidates seeking flexible work arrangements in data analysis.

Can you be a weekend data analyst as a side hustle?

Weekend data analysts can often work part-time or freelance schedules, making it feasible to pursue as a side hustle. They typically analyze data using tools like Excel, SQL, or Python, and may need to coordinate with their primary job to ensure availability during weekends. Flexibility depends on employer policies and project deadlines.

What are the most commonly searched types of Data Analyst jobs in Williston, VT?

The most popular types of Data Analyst jobs in Williston, VT are:

What cities near Williston, VT are hiring for Weekend Data Analyst jobs?

Cities near Williston, VT with the most Weekend Data Analyst job openings:

Infographic showing various Weekend Data Analyst job openings in Williston, VT as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, and 4% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution, with an average salary of $85,235 per year, or $41 per hour.

Principal Equipment Engineer - PVD (Physical Vapor Deposition)

Globalfoundries

Essex Junction, VT • On-site

$85K - $146K/yr

Full-time

Posted 23 days ago


GlobalFoundries rating

8.3

Company rating: 8.3 out of 10

Based on 35 frontline employees who took The Breakroom Quiz

67th of 542 rated manufacturers


Job description

About GlobalFoundries:

GlobalFoundries is a leading full-service semiconductor foundry providing a unique combination of design, development, and fabrication services to some of the world's most inspired technology companies. With a global manufacturing footprint spanning three continents, GlobalFoundries makes possible the technologies and systems that transform industries and give customers the power to shape their markets. For more information, visit www.gf.com.

Summary of Role:

Join our PVD team as a Principal Equipment Engineer in PVD (Physical Vapor Deposition) at our 200mm Waferfab Foundry in Essex, VT. The ideal candidate will assist with maintaining and supporting equipment readiness. This role is fully onsite in Essex, VT working a Mon-Friday daytime schedule (occasional evenings / weekends per business needs).

Essential Responsibilities:

  • Assist technicians in performing preventive maintenance (PM), troubleshooting and upgrades of equipment to ensure minimal downtime
  • Analyze and monitor technical charts
  • Drive equipment improvement plans and projects
  • Ensure and follow good safety practices and custody of tools, equipment and other properties
  • Work and collaborate other projects and/or assignments as needed
  • Collaborate daily with maintenance technicians and process engineers to meet production demands
  • Drive continuous improvement projects with respect to equipment availability, cost reduction, and yield improvement
  • Establish and manage the spare parts to meet repair budgets
  • Support cross functional problem solving, involving facilities, maintenance and process engineering
  • Work with procurement and suppliers to select strategic equipment and ensure continuity of spare part supply and quality
  • Manage installation and startup of new or retrofit equipment
  • Mentor and lead lower-level equipment engineering team members

Other Responsibilities:

  • Perform all activities in a safe and responsible manner and support all Environmental, Health, Safety & Security requirements and programs
  • Perform other duties as assigned by supervisor/manager

Required Qualifications:

  • Education -bachelor's degree in mechanical, electrical or related engineering field + 4-5 years' relevant field experience OR MS + 2-3 year's relevant field experience
  • Understanding of and troubleshooting of electro-mechanical and pneumatic systems
  • Understanding of pumps, high vacuum systems and RF generators
  • Problem solving and communication of action plans
  • Travel - Up to 10%
  • Fluency in English Language - both written & verbal
  • Physical Capacity Demands - Ability to lift and carry parts up to 30 lbs., stand, or bend and crouch to inspect, or work on equipment in the clean room for extended periods of time. Wearing any personal protective equipment as needed, to abide by cleanroom protocols
  • Understanding and execution of data analysis, with ability to report out to leaders / key stakeholders
  • Strong written and verbal communication skills
  • Strong planning & organizational skills

Preferred Qualifications:

  • Experience with supplier and contractor management
  • PLC, control systems and instrumentation
  • Project management and communication of plans
  • Understanding of semiconductor manufacturing, equipment and clean room facilities

Expected Salary Range

$85,000.00 - $146,000.00

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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