Process Improvement Engineer - Claremont, NH

Michael Page US; Claremont (CA); On-site; USD 95,000 - 135,000; Full time

Benefits offered by this job

Competitive compensation

Comprehensive benefits package

401K with company match

Full health insurance (medical, dental

Vision)

Job summary

MPI is seeking a Process Improvement Engineer to join an established industrial manufacturing client in California. You will analyze data across operations, manufacturing, supply chain, inventory, quality, and maintenance to identify trends, risks, inefficiencies, and improvement opportunities, and develop data-driven solutions with operational leaders.

This role involves building dashboards and reports, validating data from multiple systems, and supporting continuous improvement through root

Qualifications

• Bachelor's degree in Business Analytics, Operations, Engineering, 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 with ERP, MRP, MES, WMS, CRM, CMMS, or quality management systems is highly desirable.

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

Process improvement

Dashboards & reporting

Power BI/Tableau

SQL

Lean Six Sigma

Excel advanced

Stakeholder management

Education

Bachelor's degree in Business Analytics, Operations, Engineering, or related field

Tools

Power BI

Tableau

SQL

Job description

• Data-driven role where your work will directly improve operational performance.
• Join a growing organization with a strong culture, benefits, and stability!

About Our Client

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.

Job 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.

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.

The Successful Applicant

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.

What's on 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!