P2 Administrator
P2 Administrator
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Job Description
At Tetra Pak we commit to making food safe and available everywhere; and we protect whats good protecting food protecting people and protecting the planet. By doing so we touch millions of peoples lives every day.
And we need people like you to make it happen.
We empower you to reach your potential with opportunities to make an impact to be proud of for food people and the planet.
Job Summary
To applyand teach WCM knowledge and methodology to support the results in the respective factory and work with and support WCM Manager and the pillar to achieve overall process and factory KPIs.
What you will do
Data Identification and Extraction
- Gain a deep understanding of enterprise operational systems (e.g. ERP MES SCADA) to identify critical business data types and requirements.
- Design and implement efficient data extraction models to optimize data collection processes ensuring data integrity and accuracy.
- Extract structured and unstructured data from production supply chain equipment management and other relevant systems.
Data Analysis and Modeling
- Develop data analysis models (e.g. predictive diagnostic optimization models) aligned with business needs to support production efficiency cost control quality improvement and related scenarios.
- Utilize statistical analysis machine learning and visualization tools (e.g. Python R SQL Tableau Power BI) to derive actionable insights.
- Deliver periodic analytical reports to guide decision-making in production optimization resource allocation risk mitigation and strategic planning.
Business Guidance and Collaboration
- Translate analytical findings into practical recommendations (e.g. production process enhancements predictive maintenance strategies).
- Collaborate cross-functionally with production engineering and quality teams to drive data-informed process improvements.
WCM competence
- Apply the WCM knowledgeand methodology to support the business operation with WCM and data achieve the performance.
We believe you have
Data Extraction and Processing Proficiency
- Expertise in SQL Python or similar tools with hands-on experience in extracting cleaning and integrating complex datasets.
- Familiarity with API integration database management and ETL pipeline design.
Advanced Analytical and Modeling Skills
- Strong knowledge of statistics machine learning algorithms (e.g. regression clustering time series forecasting) and libraries (e.g. Pandas NumPy Scikit-learn).
- Ability to translate business challenges into data-driven problems with logical rigor and solution-oriented thinking.
Manufacturing Industry Acumen
- Understanding of key manufacturing KPIs (e.g. OEE equipment utilization rate first-pass yield inventory turnover rate).
- Knowledge of Lean Manufacturing Six Sigma or similar methodologies is a plus.
Communication and Stakeholder Engagement
- Ability to communicate technical insights effectively to non-technical stakeholders and drive collaborative action.
Technical Toolset
- Proficiency in BI tools (Tableau Power BI); experience with manufacturing systems (e.g. SAP Oracle) is preferred.
We Offer You
- A variety of exciting challenges with ample opportunities for development and training in a truly global landscape
- A culture that pioneers a spirit of innovation where our industry experts drive visible results
- An equal opportunity employment experience that values diversity and inclusion
- Market competitive compensation and benefits with flexible working arrangements
If you are inspired to be part of our promise to protect whats good; for food people and the planet apply through our careers page.
This job posting expires on 1 Aug. 2025.
Diversity equity and inclusion is an everyday part of how we work. We give people a place to belong and support to thrive an environment where everyone can be comfortable being themselves and has equal opportunities to grow and succeed. We embrace difference celebrate people for who they are and for the diversity they bring that helps us better understand and connect with our customers and communities worldwide.
Required Experience:
Unclear Seniority
Employment Type
Full Time
