Tetra Pak​ is one of three companies in the Tetra Laval Group - a private group that started in Sweden. The other two companies are DeLaval and Sidel. Tetra Laval is headquartered in Switzerland.​ Every day, across the world billions of litres of water, milk, juice and other liquid foods are consumed. At Tetra Pak, we have developed a range of packages to protect both the nutritional value and the​ taste of the products inside. Thanks to Tetra Pak technology, the packaging and distribution of liquid products to the consumer has been greatly facilitated.
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 or information science, a master's degree in business, management, or a related field would be a plus;
- Experience in high-tech growth environments, with digital solutions such as RPA development, Power Platform (Share point lists, Power Automate and Power APPs) and AI systems;
- Familiarity with process automation, AI techniques, and tools like PowerBI for creating dashboards and visualizing data;
- Experience with other business analytics tools, coding experience (Phyton), basic DBA (database administration) and SQL Server knowledge are a Plus;
- 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 communications skills and proficiency in stakeholder and change management;
- Proficiency in English.
Method of Application
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