Operational Insights Driver at Tetra Pak

This position can be based at any of our offices or sites worldwide, and extensive travel is not required.
Candidates must be available to work in a hybrid model of three days in the office and two days from home.
Tetra Pak is not sponsoring visa or relocation for this position.

What you will do

As an Operational Insights Driver, you will:

• Play a pivotal role in enhancing our strategic capabilities through technology, data science and analysis;
• Design, develop, and maintain dashboards and actionable insights into business performance;
• Explore and implement AI techniques to enhance data analysis;
• Collaborate with cross-functional teams to identify data requirements and ensure alignment with business goals and strategic priorities;
• Analyze operational data to identify performance trends, bottlenecks, and opportunities for improvement across operations;
• Continuously explore and integrate AI technologies to improve reporting, forecasting, and data-driven decision-making;
• Ensure the accuracy, consistency, and relevance of data used in insights and reports;
• Drive continuous improvement of data reporting processes to support operational and strategic decisions;
• Explore and implement AI technologies across various operational functions to optimize performance and drive value creation;
• Seek for improvement areas and being accountable for the feasibility analysis and solution development, fostering innovation and maintaining high-quality standards for insights delivery;
• Participate on global Business Transformation Projects connected to CE operation.

We believe you have

• Bachelor’s degree in data science, data management, information science, or a related field; a master’s degree in business, management, or a related field is a plus;
• Experience in high-tech growth environments, with digital solutions such as RPA development, Power Platform (SharePoint lists, Power Automate, and Power Apps), and AI systems;
• Familiarity with process automation, AI techniques, and tools like Power BI for creating dashboards and visualizing data;
• Experience with other business analytics tools, coding experience (Python), basic DBA (database administration), and SQL Server knowledge are a plus;
• Strong understanding of AI/ML concepts, including supervised and unsupervised learning, predictive modeling, and natural language processing;
• Experience applying machine learning algorithms to real-world business problems, preferably in operations, forecasting, or process optimization;
• Familiarity with AI platforms and frameworks such as TensorFlow, PyTorch, or Azure Machine Learning is a plus;
• Ability to translate business challenges into AI-driven solutions and communicate complex technical concepts to non-technical stakeholders;
• Strong analytical skills and mindset, crucial for analyzing data, identifying trends, and making data-driven decisions;
• Agility, strong drive for results, ability to deliver on time and under challenging situations, effective communication skills, and proficiency in stakeholder and change management;
• Proficiency in English.