Maintenance Planner

Jobtailor

Cajamar

Presencial

BRL 120 000 - 180 000

Tempo integral

Há 3 dias
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Resumo da oferta

Jobtailor in Brazil seeks a Maintenance Planning and Scheduling professional to drive reliability-focused planning and data-driven decision making. You will organize the tech team's backlog and prioritize tasks, aiming to maximize weekly coverage and minimize reactive work.

You will manage work orders from creation to scheduling, aligning BOMs and maintenance plans with the industrial strategy. The role requires SAP proficiency, strong Excel/Google Sheets skills, and familiarity with Power BI or

Qualificações

  • Engineering degree in Electrical/Mechanical is a plus.
  • Proficiency in SAP (S/4HANA PM/MM) is required.
  • Advanced Excel and Google Sheets skills essential.

Responsabilidades

  • Work in Maintenance Planning and Scheduling with focus on reliability and data intelligence.
  • Keep backlog organized and prioritized for technical team.
  • Maximize coverage via planned work orders; reduce reactive work.
  • Control flow of work orders from creation to scheduling.
  • Register equipment in CMMS/ERP asset hierarchy.
  • Ensure costs for parts/services are assigned to work orders.
  • Collaborate with inventory and materials management.
  • Extract and reliability of departmental performance indicators.
  • Maximize execution efficiency and field team time.

Conhecimentos

Organization
Prioritization
Coordination
Data literacy

Formação académica

Bachelor’s degree in Engineering

Ferramentas

SAP
Power BI
Databricks
Excel
Google Sheets

Descrição da oferta de emprego

• Work in Maintenance Planning and Scheduling (MPS), focusing on reliability, high performance, and data intelligence
• Keep the technical team’s work backlog organized and prioritized
• Direct efforts to maximize coverage through planned work orders and reduce reactive work
• Control the flow of work orders from creation through scheduling
• Allow the lead time required for efficient scheduling of the weekly maintenance routine
• Structure and register equipment in the CMMS/ERP asset hierarchy
• Align criticality levels, bills of materials (BOMs), and preventive/predictive maintenance plans with the industrial strategy
• Ensure that costs for parts, services, and consumables are assigned to work orders and equipment
• Work in close coordination with inventory and materials management
• Ensure the extraction and reliability of departmental performance indicators
• Maximize execution efficiency and the effective working time of the field team

Requirements

  • Completed or ongoing bachelor’s degree in Engineering (Electrical, Mechanical, or related fields) is a plus
  • Proficiency in SAP is mandatory; experience with SAP S/4HANA (PM/MM modules) is a plus
  • Advanced knowledge of Google Sheets and Excel
  • Experience with or familiarity with BI and data analytics tools, such as Power BI or Databricks
  • Hands-on experience with reliability indicators
  • Previous practical experience in technical maintenance within a manufacturing environment
  • Knowledge of reliability methodologies such as WCM and RCM

Core Competencies

Demonstrates expertise in Maintenance Planning and Scheduling (MPS) with a focus on reliability and data intelligence, utilizing SAP for efficient work order management and performance analysis.

Highest-signal resume keywords

  • Proficiency In SAP
  • Experience With SAP S/4HANA
  • Advanced Knowledge Of Google Sheets
  • Hands-On Experience With Reliability Indicators
  • Familiarity With BI And Data Analytics Tools

ATS Optimization Keywords

Hard Skills

  • Maintenance Planning
  • Work Order Management
  • Preventive Maintenance
  • Predictive Maintenance
  • Reliability Methodologies
  • Data Intelligence
  • Technical Maintenance
  • Performance Indicators
  • Equipment Structuring
  • Cost Management

Soft Skills

  • Organizational Skills
  • Coordination Skills
  • Prioritization Skills

Industry Keywords

  • Manufacturing Environment
  • Reliability Engineering
  • WCM
  • RCM
  • BOM

Tools & Technologies

  • CMMS
  • ERP
  • Power BI
  • Databricks
  • Excel
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