Data Scientist Quality & Product Compliance
Role details
Job location
Tech stack
Job description
- 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.
Requirements
Do you have experience in Supply chain?, * 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.
Benefits & conditions
- 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
At Henkel, we come from a broad range of backgrounds, perspectives, and life experiences. We believe the uniqueness of all our employees is the power in us. Become part of the team and bring your uniqueness to us! We welcome all applications across different genders, origins, cultures, religions, sexual orientations, disabilities, and generations. If you require alternative methods of application or screening, you must approach the employer directly to request this as Indeed is not responsible for the employer's application process.