On-Site Production Labor Analyst – Time & Trends

Mentorchamber

Mentor (OH)

Hybrid

USD 52,000 - 72,000

Full time

14 days+

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Job summary

Mentorchamber is seeking a Production Labor Factor Analyst to join on-site in Mentor, OH. The role focuses on analyzing labor factors for the production department, customer program management, and executive teams, with monthly, quarterly, and annual reporting.

The analyst will track labor factor results, compare to projections, and identify trends to improve accuracy. Collaboration with multiple departments is required to ensure data integrity and support continuous improvement initiatives.

Responsibilities

  • Provide Production Department, Customer Program Management Department and Management team with detailed hour(s) analysis monthly, quarterly, and annually.
  • Analyze and report labor factor actuals vs. projections, identify trends for opportunities to increase accuracy of labor factor.
  • Review and report statistical data on Variable Labor Factor(s) (VLF) accuracy rate for each department, including suggestions and alterations to VLF.
  • Collaborate with Production Department and Customer Program Departments to highlight program issues, trends, opportunities.
  • Detailed analysis of production to include time gates that impact production department hourly distribution and capacity planning.
  • Assist with Industrialization process to determine projected labor factor hours.
  • Confirm / approve labor factor change request to ensure consistency, standards, and accuracy are maintained.
  • Audit work instruction standards – Labor type.

Job description

Mentorchamber is seeking a Production Labor Factor Analyst to join on-site in Mentor, OH. The role focuses on analyzing labor factors for the production department, customer program management, and executive teams, with monthly, quarterly, and annual reporting.

The analyst will track labor factor results, compare to projections, and identify trends to improve accuracy. Collaboration with multiple departments is required to ensure data integrity and support continuous improvement initiatives.

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