Process Engineer - Data Analytics

Responsibilities

• Build and maintain data-driven tools and reporting to support production and engineering decisions
• Analyze high-mix manufacturing data to identify:
• Bottlenecks
• Flow constraints
• Capacity issues
• Improvement opportunities
• Provide forward-looking insights to help engineering stay ahead of demand shifts
• Improve production visibility and responsiveness in a constantly changing environment
• Support process improvements, layout changes, and flow optimization
• Work cross-functionally with production, engineering, and leadership
• Update legacy manufacturing processes to support current market trends and increasing production demands
• Observe operations with a critical eye, collect trustworthy data, and build clean data streams to support process standards, corrections, new ground level scheduling efforts, operations capacity and loading understanding, and increase capacity
• Use engineering expertise, objective analysis, and professional judgment to improve, create, and sustain high performing processes capable of handling high mix
• Develop tools and systems to track performance and ensure immediate and long-term success
• Support new plantwide scheduling initiatives by developing tools and processes to properly load and synchronize operations
• Analyze actual vs. realized capacity and implement strategies to close performance gaps
• Focus operations on key performance indicators to drive measurable growth and continuous improvement
• Design, launch, and track meaningful manufacturing KPIs
• Train operations teams to understand and manage performance using data and metrics
• Actively contribute to a respectful, high-functioning team culture
• Build strong relationships across departments to foster collaboration and shared ownership
• Serve as a technical partner and mentor to peers and operations staff

Qualifications

• Bachelor’s degree in mechanical, industrial, or manufacturing engineering (or related field)
• 2-3 years of experience in high-volume manufacturing environments preferred
• Strong data analytics capability (core requirement); Proficiency in data analysis tools (Excel, SQL, Power BI, etc.) and manufacturing software
• Python experience preferred (data analysis, automation, or tool development)
• Ability to operate effectively in a fast-changing, low-structure environment
• Strong problem-solving skills with a focus on practical, actionable outcomes
• Exceptional analytical and critical thinking skills
• Strong mechanical aptitude and understanding of machining principles
• Demonstrated ability to lead projects and drive change through influence and expertise
• Excellent communication and interpersonal skills
• Passion for teamwork, continuous improvement, and building a collaborative culture