Magnet.me  -  Het slimme netwerk waar studenten en professionals hun stage of baan vinden.

Het slimme netwerk waar studenten en professionals hun stage of baan vinden.

Data Scientist Quality & Product Compliance

Geplaatst 16 jan. 2026
Delen:
Werkervaring
5 tot 10 jaar
Full-time / part-time
Full-time
Functie
Opleidingsniveau
Taalvereiste
Engels (Vloeiend)

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Join the global Center of Excellence Quality & Product Compliance with this job opportunity as a Data Scientist. As a part of global Henkel Adhesives Operations and Supply Chain, with strong ties to our Business Units as well as Innovation/Research and Development, we offer access to a wealth of truly global data that requires your unique skillset.

About this position

Join the global Center of Excellence Quality & Product Compliance with this job opportunity as a Data Scientist. As a part of global Henkel Adhesives Operations and Supply Chain, with strong ties to our Business Units as well as Innovation/Research and Development, we offer access to a wealth of truly global data that requires your unique skillset.

What you´ll do

  • Drive Quality Improvement Through Data & Analytics: Leverage data-driven insights to enhance quality performance, optimize processes, and foster a culture of continuous improvement
  • Lead Digitalization & Advanced Analytics in Quality Management: Develop frameworks for digital transformation in quality management, integrating advanced analytics and BI tools. Explore emerging technologies and leverage their full potential
  • Advanced Data Analysis: Use advanced data analysis tools, analytics platforms, and data management systems and construct efficient dataflows, datasets, reports, and dashboards to provide actionable analysis to the organization.
  • Manage Analytics & Business Intelligence Projects: Oversee BI initiatives, ensuring effective resource allocation, timeline management, and collaboration between IT, data teams, and business units
  • Promote Data Literacy & Self-Service Analytics: Train and mentor teams on analytics tools, fostering data-driven decision-making across the organization.

What makes you a good fit

  • Degree in Data Analytics, Data Science, Statistics, Operations Research, Industrial or Chemical Engineering
  • 5+ years of work experience in related fields, quality performance or business intelligence, 3+ years’ experience in data analytics and data driven process optimization
  • Proficient in using advanced data analysis tools, analytics platforms, and data management systems (e.g. MS Azure, Databricks, PowerBI / Python, SQL, DAX)
  • Well-versed in data analysis best practices, adept at staying informed about industry trends and swiftly adapting to changes in the data analytics landscape
  • Experience in interacting effectively in a global environment and cooperating with and leading cross-functional teams and projects
  • Strong analytical mindset with a passion for problem-solving with a focus on creating efficient and scalable data solutions. Ability to communicate complex data concepts clearly and effectively to business stakeholders.
  • Agility, enthusiasm, willingness to learn and creativity.

Some perks of joining Henkel

  • Flexible work scheme with flexible hours, hybrid work model, and work from anywhere policy for up to 30 days per year
  • Diverse national and international growth opportunities
  • Global wellbeing standards with health and preventive care programs
  • Gender-neutral parental leave for a minimum of 8 weeks
  • Employee Share Plan with voluntary investment and Henkel matching shares
  • Pension Fund
  • Disability Insurance
  • Health Insurance
  • Canteen

You’ve probably heard of the brands Schwarzkopf, Fa, Pritt, Persil, Bref,…? Did you know that these are just a few examples of brands with which Henkel is active worldwide? Yes, Henkel is a global leading FMCG manufacturer with brands & technologies in two business areas: Consumer Brands, and Adhesive Technologies. With over 47.000 employees, in 125 countries!

FMCG
Düsseldorf
Actief in 78 landen
47.000 medewerkers
60% mannen - 40% vrouwen
Gemiddeld 30 jaar oud