Manufacturing Excellence: Data Analytics & Digital Solutions

Magnum RFM Ice Cream, Inc. (Selecta Philippines)

Pasig

In loco

PHP 446.000 - 781.000

Tempo pieno

8 giorni fa

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Vantaggi offerti da questo lavoro

Flexible ways of working
Learning and development opportunities
Health, wellbeing and life support
Time off to rest and recharge

Descrizione del lavoro

Magnum RFM Ice Cream, Inc. (Selecta Philippines) is seeking a Manufacturing Excellence Specialist to drive performance data, loss analysis and digital transformation in our Manila-area factory.

You’ll partner with the ManEx Manager and factory teams to improve visibility, sustain improvement initiatives and build hands‑on capability in analytics and continuous improvement. You’ll work on data collection, dashboards, RCA, Kaizen, and digital tool adoption, with focus on OEE, waste, downtime and

Competenze

  • Bachelor’s degree in engineering, Industrial Engineering, Manufacturing Engineering, Data Analytics, or other relevant technical disciplines.
  • Good knowledge of manufacturing performance indicators, particularly OEE, waste, downtime, and productivity.
  • Working knowledge of continuous improvement and structured problem‑solving methodologies.
  • Strong Microsoft Excel and data‑analysis capability.
  • Exposure to Power BI, Power Apps, Power Automate or similar digital tools is an advantage.

Mansioni

  • Support the ManEx Manager & FI Team in executing factory improvement priorities.
  • Maintain ManEx performance trackers, action plans, project status, and improvement documentation.
  • Support ICMS assessments, audits, pillar reviews and follow-up of identified actions.
  • Assist in preparing performance reviews and ManEx governance materials.
  • Collect, validate and analyze operational data including OEE, waste, productivity, downtime, cost, savings, and other factory losses.
  • Develop and maintain dashboards and visual performance reports.
  • Perform pareto, trends and loss analysis to help identify improvement opportunities.
  • Ensure accuracy and timely updating of performance data.
  • Support FI Engineers and operational teams with the use of different FI Tools, RCA, 5W+1H, Kaizen and structured problem solving.
  • Assist in developing countermeasures and monitoring action closure.
  • Track improvement project progress, results and sustainability.
  • Support replication of proven improvements across applicable factory areas.
  • Support development, testing, deployment, and maintenance of factory digital solutions.
  • Assist in users in effective adoption of digital tools and applications.
  • Identify opportunities to replace manual data collection and reporting with digital solutions.
  • Monitor usage, data quality, and issues associated with deployed digital tools.
  • Maintain the factory savings and productivity project tracker.
  • Collect supporting operational data needed for project benefit validation.
  • Monitor project milestones, action closure and benefit realization.
  • Support ManEx and project owners in preparing savings & productivity updates.
  • Provide hands‑on support to factory users on ManEx tools, dashboards, and digital applications.
  • Assists in conducting basic training and knowledge‑sharing sessions.
  • Develop simple work instructions and user guides for deployed solutions.
  • Support capability building in data‑driven problem solving and continuous improvement.

Conoscenze

Manufacturing Excellence
Continuous Improvement
Data analysis
Performance reporting
Excel
Power BI
Power Apps
Power Automate
Cross-functional collaboration
Learning agility

Formazione

Bachelor’s degree in engineering or related technical field

Strumenti

Power BI
Power Apps
Power Automate
Excel

Descrizione del lavoro

Magnum RFM Ice Cream, Inc. (Selecta Philippines) is seeking a Manufacturing Excellence Specialist to drive performance data, loss analysis and digital transformation in our Manila-area factory.

You’ll partner with the ManEx Manager and factory teams to improve visibility, sustain improvement initiatives and build hands‑on capability in analytics and continuous improvement. You’ll work on data collection, dashboards, RCA, Kaizen, and digital tool adoption, with focus on OEE, waste, downtime and

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