- +2
- +8
- Munich, Bavaria, Germany
About
Avery Dennison Corporation (NYSE: AVY) is a global materials science and digital identification solutions company that provides a wide range of branding and information solutions that optimize labor and supply chain efficiency, reduce waste, advance sustainability, circularity, and transparency, and better connect brands and consumers. Our products and solutions include labeling and functional materials, radio frequency identification (RFID) inlays and tags, software applications that connect the physical and digital, and a variety of products and solutions that enhance branded packaging and carry or display information that improves the customer experience. Serving an array of industries worldwide β including home and personal care, apparel, general retail, e-commerce, logistics, food and grocery, pharmaceuticals, and automotive β we employ approximately 35,000 employees in more than 50 countries. Our reported sales in 2023 were $8.4 billion. Learn more at www.averydennison.com .
Play a pivotal role in extracting insights from complex data set to support digital strategies
Lead teams that analyze trends, performance metrics, customer behavior, providing a data driven foundation for decision making and measuring impact of digital initiatives
This role is full-time and requires a high level of commitment and understanding of data analytics and data management.
Coordinate cross-functional teams, manage resources and maintain clear communication channels to keep digital transformation and data projects aligned with business objectives.
Oversees execution and ROI outcomes of various digital initiatives in addition to data related projects
This role is required to keep abreast of industry news and trends about emerging technologies
Exposure to Oracle fusion would be preferred ( FAW/OAC etc)
YOUR RESPONSIBILITIES WILL INCLUDE:
Leads team of data scientists/data analysts and execute projects to produce business deliverables
Develop strategies for effective data analysis and reporting
Define company-wide metrics and relevant data sources
Select, configure, implement analytics solutions
Build systems to transform raw data into actionable insights
Apply industry knowledge to interpret data and improve performance
Analyze large amount of data to derive patterns/trends and thus gain business insights
Solving business problems using various logic and creativity
Use data visualization and storytelling to create custom reports and presentations
Coordinating tasks of teams working on big data projects and and ensuring efficiently completion
Coordinating team tasks including research, data collection using effective methods, information analysis and recommendation for business solutions
Communicates with cross functional departments and ensure their strategies and goals are aligned with company digital strategies
QualificationsWHAT WE WILL BE LOOKING FOR IN YOU:
Bachelorβs or postgraduate degree in engineering ( computer science/IT preferred), statistics, data management or related field
Proven 5-8 years experience as an Analytics Manager or data scientists
Knowledge of excel, SQL, Python and R languages, Machine learning (ML) techniques and familiarity with BI tools (e.g. Tableau, SAS)
Demonstrated ability to collaborate with cross-functional teams to solve problems
Strong logical reasoning skills and business intelligence
Analytical skills and strong organizational abilities
Attention to detail and problem solving aptitude
Ability to rapidly and continually engage key resources/stakeholders for their input
Appetite for change, desire to optimize digital Transformation.
We are looking for individuals who are outstanding communicators, decisive, resilient and flexible.
Open to travel within the APAC regions or outside depending on business needs
Previous hands-on experience with operational and analytical BI tools is highly desired e.g. Oracle OTBI, FAW, Cognos, Power BI, Google Data Studio etc.
AVERY DENNISON IS AN EQUAL EMPLOYMENT OPPORTUNITY PROVIDER
Additional InformationAVERY DENNISON IS AN EQUAL EMPLOYMENT OPPORTUNITY PROVIDER
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability, protected veteran status or other protected status. EEOE/M/F/Vet/Disabled. All your information will be kept confidential according to EEO guidelines.
#J-18808-LjbffrNice-to-have skills
- SQL
- Python
- R
- Machine Learning
- Tableau
- SAS
- Power BI
- Google Data Studio
Work experience
- Data Analyst
- Data Scientist
Languages
- English