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Lifetime Products, Inc.
Manufacturing Engineering Data Analyst...
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What they do
A Data Analyst develops computer programs to analyze large customer information databases for companies and organizations. Analyzes data to identify patterns and provide information relevant to a particular business, industry or field; analysis may be used for marketing, or to detect fraud in financial transactions, or for research. Develops computer programs to protect confidential customer information.
$78,724 / year median in Utah
+12% projected growth
Job Description
Manufacturing Engineering Data Analyst... Lifetime Products, Inc.
- 3.
Full Job Description Job Title:
Manufacturing Engineering Data Analyst Reports To:
MFG Engineering Manager FLSA Status:
Exempt Shift:
Day Wage Guidelines:
$00,000- $00,000
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 be responsible for collecting, analyzing, and reporting manufacturing data to support process improvement, material flow, production efficiency, quality, and cost reduction initiatives. Must be self-motivated, organized, detail-oriented, have excellent communication skills, and work well with all team members. 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, quality, and cost performance. Develop and maintain dashboards, reports, and key performance indicators that provide visibility to manufacturing engineering and operations performance. Analyze trends, identify root causes, and recommend data-driven improvements to production processes, layouts, work methods, and material handling systems. Support Lean manufacturing, continuous improvement, and cost reduction projects by providing accurate data analysis, time studies, capacity analysis, and process performance reporting. Partner with manufacturing engineers and production teams to evaluate new product lines, process changes, equipment performance, and operational improvement opportunities. Create standard data collection methods, improve data accuracy, and document reporting processes to support consistent decision-making.Qualifications:
Bachelor's degree in engineering, Data Analytics, Business Analytics, Statistics, Industrial Technology, or a related field is required; equivalent manufacturing analytics experience may be considered. Ability to work with mathematical and analytical concepts such as statistical analysis, time studies, capacity analysis, cost analysis, forecasting, and manufacturing performance metrics. Ability to observe current manufacturing processes, understand inefficiencies, analyze supporting data, and help develop and implement improvements. 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, or SQL is preferred. Ability to communicate data insights 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 and exceptions, and translates findings into practical 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 to generate suggestions for improving manufacturing processes, reporting accuracy, 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.