Process Improvement Engineer - Claremont, NH

Michael Page; Claremont (NH); On-site; USD 90,000 - 120,000; Full time

Job summary

Michael Page is seeking an experienced Process Improvement Engineer to transform complex operational data into actionable insights that drive business performance within an industrial manufacturing context.

You'll analyze data across operations, supply chain, and quality, build dashboards and reporting tools, and collaborate with leaders to implement data-driven solutions that improve capacity planning, scheduling, and overall operational excellence.

Qualifications

• Bachelor's degree in Business Analytics, Operations, Supply Chain, Engineering, Statistics, Information Systems, or related field.
• Minimum 3 years of experience in data analytics, operations analytics, manufacturing analytics, supply chain analytics, industrial engineering, or a similar field.
• Experience supporting operational environments such as manufacturing, distribution, supply chain, planning, quality, or customer operations.
• Advanced Microsoft Excel skills and proficiency with data visualization platforms such as Power BI, Tableau, or comparable tools.
• Experience using SQL and other data querying tools to extract and analyze information from multiple business systems.
• Strong understanding of operational metrics, process improvement methodologies, and performance measurement.
• Excellent communication and stakeholder management skills.

Responsibilities

• Analyze operational, manufacturing, supply chain, inventory, quality, maintenance, and customer service data to identify trends, risks, inefficiencies, and improvement opportunities.
• Build, maintain, and enhance dashboards, scorecards, and reporting tools that provide visibility into key business and operational metrics.
• Partner with operational leaders and cross-functional stakeholders to understand business challenges and develop data-driven solutions.
• Validate and reconcile data from multiple systems to ensure accuracy and reliability of reporting outputs.
• Support continuous improvement initiatives through root cause analysis, performance measurement, and quantification of improvement opportunities.
• Deliver actionable recommendations that support capacity planning, production scheduling, labour planning, inventory management, supplier performance, and operational execution.
• Create presentations and reports that communicate complex findings in a clear and practical manner.
• Improve reporting processes, data governance practices, and analytics workflows to enhance efficiency and decision-making.
• Assist with the development of KPI frameworks and performance measurement standards across operational functions.
• Support operational reviews by providing timely insights and meaningful analysis.

Skills

Data analytics

Operations analytics

Stakeholder management

Communication skills

Attention to detail

Education

Bachelor's degree in Business Analytics or related

Tools

Power BI

Tableau

SQL

Excel

Job description

Join a growing operations-focused organization where you'll transform complex operational data into meaningful insights that drive business performance.

Client Details

Our client is an established industrial manufacturing company that places a strong emphasis on operational excellence, data-driven decision-making, and continuous improvement. With a collaborative culture and a commitment to innovation, the business empowers employees to work closely with leaders across operations, supply chain, manufacturing, quality, and customer-facing functions to solve complex challenges and deliver measurable results.

Description

The Process Improvement Engineer will:

• Analyze operational, manufacturing, supply chain, inventory, quality, maintenance, and customer service data to identify trends, risks, inefficiencies, and improvement opportunities.
• Build, maintain, and enhance dashboards, scorecards, and reporting tools that provide visibility into key business and operational metrics.
• Partner with operational leaders and cross-functional stakeholders to understand business challenges and develop data-driven solutions.
• Validate and reconcile data from multiple systems to ensure accuracy and reliability of reporting outputs.
• Support continuous improvement initiatives through root cause analysis, performance measurement, and quantification of improvement opportunities.
• Deliver actionable recommendations that support capacity planning, production scheduling, labour planning, inventory management, supplier performance, and operational execution.
• Create presentations and reports that communicate complex findings in a clear and practical manner.
• Improve reporting processes, data governance practices, and analytics workflows to enhance efficiency and decision-making.
• Assist with the development of KPI frameworks and performance measurement standards across operational functions.
• Support operational reviews by providing timely insights and meaningful analysis.

Profile

Key requirements include:

• Bachelor's degree in Business Analytics, Operations, Supply Chain, Engineering, Statistics, Information Systems, or a related discipline.
• Minimum 3 years of experience in data analytics, operations analytics, manufacturing analytics, supply chain analytics, industrial engineering, or a similar field.
• Experience supporting operational environments such as manufacturing, distribution, supply chain, planning, quality, or customer operations.
• Advanced Microsoft Excel skills and proficiency with data visualization platforms such as Power BI, Tableau, or comparable tools.
• Experience using SQL and other data querying tools to extract and analyze information from multiple business systems.
• Strong understanding of operational metrics, process improvement methodologies, and performance measurement.
• Excellent communication and stakeholder management skills.
• Ability to work with large, complex datasets while maintaining exceptional attention to detail.
• Experience with ERP, MRP, MES, WMS, CRM, CMMS, or quality management systems is highly desirable.
• Familiarity with Lean, Six Sigma, root cause analysis, and operational excellence principles is advantageous.

Job Offer

• Competitive compensation
• Comprehensive benefits package
• 401K with company match
• Full health insurance including medical, dental and vision
• Generous PTO
• 11 paid holidays
• Great company culture!

MPI does not discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, disability, veteran status, marital status, or based on an individual's status in any group or class protected by applicable federal, state or local law. MPI encourages applications from minorities, women, the disabled, protected veterans and all other qualified applicants.