Manufacturing Engineering Data Analyst...

Lifetime Products, Inc

Clearfield (UT)

On-site

USD 70,000 - 100,000

Full time

5 days ago

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Benefits offered by this job

Paid Time Off

profit sharing program

Medical

Life

Vision

Dental

Disability

401k

Lifetime Employee Health Clinic for on

Job summary

Lifetime Products, Inc. is seeking a Manufacturing Engineering Data Analyst to join our team at the Clearfield, UT facility.

The role combines hands-on process knowledge with strong data analytics to improve process capability, labor efficiency, equipment utilization, and cost performance. You will collect, validate, analyze, and report manufacturing data, develop dashboards, support Lean and continuous improvement initiatives, and translate operational data into actionable engineering

Qualifications

Bachelor's degree in Manufacturing Engineering, Industrial Engineering, Mechanical Engineering, Data Analytics, or related field is required; equivalent experience may be considered.
Strong understanding of manufacturing processes, line balance, and continuous improvement methods.
Ability to perform statistical analysis, time studies, and capacity analysis.
Experience with Lean manufacturing, Six Sigma, or value stream mapping is preferred.

Responsibilities

Collect, validate, analyze, and report manufacturing data related to production output, labor utilization, scrap, downtime, throughput, material flow, equipment performance, quality, safety, and cost performance.
Develop and maintain dashboards, reports, and KPIs (cycle time, OEE, capacity, yield, scrap, labor efficiency, process reliability).
Support manufacturing engineering projects by analyzing current processes, layouts, work methods, line balance, and material handling.
Perform time studies, capacity analysis, workflow analysis, and process performance evaluations to identify bottlenecks and improvements.
Collaborate with production teams to evaluate new product lines, tooling changes, and automation opportunities.

Skills

Advanced Excel

Power BI

SQL

Data analytics

Manufacturing data

Education

Bachelor's degree in Manufacturing Engineering or related field

Tools

ERP/MRP systems

MES data

Databases

Job description

Job Title: Manufacturing Engineering Data Analyst

Reports To: MFG Engineering Manager

FLSA Status: Exempt Shift: Day

Wage Guidelines: $70,000 - $100,000 DOE Department: MFG Engineering

Lifetime Products, Inc., has applied innovation and cutting-edge technology in plastics and metals to create a family of affordable lifestyle products that feature superior strength and durability. As the world's leading manufacturer of folding tables, chairs, and basketball systems, Lifetime also manufactures storage sheds, kayaks, paddle boards, and playsets.

Lifetime Products Inc., is seeking a Manufacturing Engineering Data Analyst to join our team.

Summary:

The Manufacturing Engineering Data Analyst will support manufacturing engineering initiatives by combining hands-on process knowledge with strong data analysis skills. This role will collect, validate, analyze, and report manufacturing data while partnering with production, maintenance, quality, and operations teams to improve process capability, material flow, labor efficiency, equipment utilization, quality, safety, and cost performance. The position will help evaluate production processes, identify constraints and root causes, support Lean and continuous improvement projects, and translate operational data into actionable engineering recommendations. Must be self-motivated, organized, detail-oriented, have excellent communication skills, and work well with all team members. This position will be on-site at the Clearfield, UT manufacturing facility.

Essential Duties and Responsibilities include the following (Other duties may be assigned)

Collect, validate, analyze, and report manufacturing data related to production output, labor utilization, scrap, downtime, throughput, material flow, equipment performance, quality, safety, and cost performance.
Develop and maintain dashboards, reports, and key performance indicators that provide visibility to manufacturing engineering and operations performance, including metrics such as cycle time, OEE, capacity, yield, scrap, labor efficiency, and process reliability.
Support manufacturing engineering projects by analyzing current processes, production layouts, work methods, line balance, material handling, tooling, equipment performance, and process constraints.
Perform time studies, capacity analysis, workflow analysis, and process performance evaluations to identify bottlenecks and recommend improvements to production efficiency, labor utilization, and material flow.
Analyze trends, identify root causes, and recommend data-driven improvements to production processes, layouts, work methods, equipment utilization, quality performance, and material handling systems.
Support Lean manufacturing, continuous improvement, waste reduction, standard work, and cost reduction projects by providing accurate data analysis, baseline measurements, validation results, and process performance reporting.
Partner with production teams to evaluate new product lines, process changes, equipment performance, tooling changes, automation opportunities, and operational improvement opportunities.
Assist in documenting process changes, standard work, engineering observations, improvement recommendations, and project results to support consistent manufacturing engineering decision-making.
Create standard data collection methods, improve data accuracy, and document reporting processes to support consistent decision-making across manufacturing engineering and operations.

Qualifications:

Bachelor's degree in Manufacturing Engineering, Industrial Engineering, Mechanical Engineering, Data Analytics, Business Analytics, Statistics, Industrial Technology, or a related field is required; equivalent manufacturing engineering analytics experience may be considered.
General understanding of manufacturing engineering principles, production processes, process flow, line balance, equipment utilization, tooling, work instructions, standard work, and continuous improvement methods.
Ability to work with mathematical and analytical concepts such as statistical analysis, time studies, capacity analysis, cost analysis, forecasting, process capability, and manufacturing performance metrics.
Ability to observe current manufacturing processes, understand inefficiencies, analyze supporting data, and help develop, validate, and implement improvements.
Experience supporting Lean manufacturing, Six Sigma, root cause analysis, standard work, value stream mapping, or continuous improvement initiatives is preferred.
Proficient computer skills including advanced Microsoft Excel, Microsoft Office, and experience with reporting or visualization tools such as Power BI.
Experience working with manufacturing systems, ERP/MRP systems, MES data, databases, SQL, or production reporting systems is preferred.
Ability to communicate data insights, engineering observations, and improvement recommendations effectively to technical and non-technical audiences and work in a team environment.

To perform the job successfully, an individual should demonstrate the following competencies:

Safety and Security – Complies with all safety and security policies and procedures, reports potentially unsafe conditions, and uses equipment and materials properly.

Analytical Thinking – Interprets data accurately, identifies trends, exceptions, process constraints, and root causes, and translates findings into practical manufacturing engineering recommendations.
Quality – Demonstrates accuracy and thoroughness; Looks for ways to improve and promote quality; Monitors own work to ensure quality.
Dependability - Follows instructions, responds to management direction, takes responsibility for own actions, keeps commitments, and commits to longer hours of work when necessary to reach goals.

Trust & Respect - Treats people with respect, works with integrity and ethics, and upholds organizational values.
Innovation - Uses data, engineering judgment, and process observations to generate suggestions for improving manufacturing processes, reporting accuracy, material flow, equipment utilization, quality, and operational performance.
Teamwork - Balances team and individual responsibilities, puts success of team above own interests, and supports everyone's efforts to succeed.
Diversity - Shows respect and sensitivity for cultural differences and promotes a harassment-free environment.

Please Note

All positions subject to close without notice.

Lifetime Products is an Equal Opportunity Employer.