Maintenance Analytics Engineer
Lund, SE
Tetra Pak
Tetra Pak is the world's leading food processing and packaging solutions company working closely with our customers and suppliers to provide safe food.At Tetra Pak we commit to making food safe and available, everywhere; and we protect what's good – protecting food, protecting people, and protecting the planet. By doing so we touch millions of people's 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
We are looking for a Maintenance Analytics Engineer to support Tetra Pak Services in driving improvements through diagnostics, data intelligence, and analytics tools. The successful candidate will assist in implementing data-driven solutions, maintaining analytics products, and supporting business transformation efforts. This role emphasizes collaboration, technical support, and ensuring adherence to industry standards, with opportunities to contribute to cross-functional initiatives for continuous improvement.
You will report to the Maintenance Analytics Manager, Next Generation Maintenance Management, and will be based in Lund, Sweden, working in a global setting.
What you will do
- Assist in utilising diagnostics and data intelligence to support business strategies.
- Contribute to the development of analytical solutions such as reports, tools and dashboards.
- Ensure compliance with industry standards and best practices for analytics solutions.
- Support the maintenance and troubleshooting of analytics tools in collaboration with data engineers and product owners
- Provide / assist user training on data analytics tools to ensure effective utilisation
- Collaborate in the implementation of service business initiatives involving analytics
- Build and maintain networks to support solution effectiveness.
- Work with cross-business teams to identify opportunities for improvement.
- Communicate technical information effectively to non-technical stakeholders.
We believe you have
Education:
- Bachelors or Masters’ degree in Engineering (preferable), Data Science, Industrial Engineering, or related fields.
Experience:
- Minimum 1-2 years of experience in Maintenance, Reliability Engineering, or Data Analytics.
- Hands-on experience in developing and analytical solutions (e.g., dashboards, reports, tools).
- Familiarity with tools like SQL, DAX, or database management systems.
- Knowledge of Maintenance Management Systems, IoT data, or reliability-cantered maintenance is a plus.
- Proficiency in data visualization, simulation, or data analytics tools.
- Knowledge in Python, R, or statistical analysis methods.
- Ability to troubleshoot and maintain analytical tools.
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
Apply Now
If you are inspired to be part of our promise to protect what’s good; for food, people, and the planet, apply through our careers page at https://jobs.tetrapak.com/.
This job posting expires on 2025.01.30.
To know more about the position contact Rajiv Dandotiya at rajiv.dandotiya@tetrapak.com
Questions about your application contact Vivien Balogh at vivien.balogh@tetrapak.com
For trade union information contact Unionen Lisbeth Larsson at +46 46 36 2320 and Sveriges Ingenjörer Lars Haraldsson at +46 46 36 2533
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.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Data Analytics Data visualization Engineering Industrial Python R SQL Statistics
Perks/benefits: Competitive pay Equity / stock options Flex hours
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