Manufacturing Engineer – Data Analyst

Title: Manufacturing Engineer – Data Analyst

: 20580

Type: Full Time

Location: Milton, VT

Husky Technologies TM is a company built on innovation, close customer relationships, a strong sense of community, and a unique culture and values. We are looking for people with the inspiration and talent to develop with us as we pursue our ambitious growth strategy.

Our United States manufacturing facility is located in Milton, Vermont on a large, beautiful campus just 30 minutes north of downtown Burlington. Features include an onsite cafeteria, open office concept, fitness center, intramural sports activities, and clean, state‑of‑the‑art manufacturing facilities with outstanding safety records.

• Shift work premiums (25% afternoon shift and 40% evening shift)
• Annual incentive bonus
• Outstanding 401k contribution and match program
• 700 acres of private land to walk, bike, run or cross‑country ski
• Opportunity to work for a world‑class company with great people

Husky Technologies TM is an exciting company with tremendous potential. We have a great team and great expectations. If you are attracted to bold goals, believe in uncompromising honesty, support mutual respect, care about environmental responsibility, have a passion for excellence, and a desire to make a positive contribution – then we want you to join the Husky Technologies TM team!

Salary Range: $80,000 - $90,000

Summary of Role: This position independently drives the application of latest manufacturing techniques, processes, data analysis, tooling, and machinery to maximize plant throughput, product quality, and improve on‑time deliveries to customers.

• Proactively investigate current and emerging technologies.
• Utilize statistical tools and techniques to analyze data, identify trends, and patterns.
• Create visual representations of data findings through charts, graphs, and dashboards.
• Prepare detailed reports and presentations to communicate insights and recommendations.
• Develop and implement integration strategies for various software systems, databases, and applications.
• Analyze current manufacturing efficiencies and compile data to support operations.
• Manage various manufacturing engineering projects as assigned.
• Evaluate and measure cost effectiveness of manufacturing processes.
• Provide estimations of manufacturing times and costs as part of design reviews for Product Engineering.
• Prepare budgets, capital requisitions, and justifications for major capital equipment acquisitions.
• Manage all aspects of major capital projects, acceptances, commissioning, and transition into production.
• Independently evaluate, recommend, and coordinate implementation of manufacturing process improvements.
• Help develop machine and technology road maps with the operations team.
• Support NC reviews, 5‑Y investigations, and lead corrective action initiatives.
• Provide manufacturing estimates and DFM (Design for Manufacturability) input for Product Development.

• Experience with programming languages (SQL, Java, Python).
• Proficient with computer software (Word, Excel, PowerPoint).
• Strong analytical abilities to interpret data and derive actionable insights.
• Ability to present complex data findings in a clear and concise manner.
• CNC programming (or machining) or design experience is a plus.
• Expertise in project management.
• Moderate travel is expected with this job.
• A.B.S. or A.S. in Mathematics, Statistics, Computer Science, or Engineering (Manufacturing or Mechanical) preferred or equivalent preferred.

Husky Technologies TM offers a competitive compensation and benefits package and excellent opportunities for growth and advancement. We are committed to equal employment opportunity and respect, value, and welcome diversity in our workplace. Husky Technologies TM also values being a great place to work and strives to maintain a safe workplace. Accordingly, Husky Technologies TM conditions all offers of employment on satisfactory completion of background checks.

No agency or telephone inquiries please.

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