Auf einen Blick
- Aufgaben: Analyze IoT data to optimize equipment performance and reduce costs.
- Arbeitgeber: Join BOBST, a leader in innovative packaging solutions for over 130 years.
- Mitarbeitervorteile: Work with cutting-edge technology and enjoy a collaborative team environment.
- Warum dieser Job: Be part of a vision to revolutionize the packaging industry through data-driven insights.
- Gewünschte Qualifikationen: 5+ years in packaging equipment manufacturing; strong analytical and communication skills required.
- Andere Informationen: Opportunity to work with global teams and travel to customer sites.
Das voraussichtliche Gehalt liegt zwischen 43200 - 72000 € pro Jahr.
BOBST is one of the world’s leading suppliers of substrate processing, printing and converting equipment and services for the label, flexible packaging, folding carton and corrugated industries. BOBST machines are used to produce a variety of packaging types for goods that are manufactured by brand owners for end consumers.
We successfully presented our BOBST packaging Industry vision during the last Drupa exhibition. Our vision is to connect our customers to a digitized, automated workflow, while providing best-in-class machines and a great connected service experience.
Within the Business Unit Services & Performances (BUSP), we are creating a new team of IoT equipment data analysts that will allow us to move further in the deployment of our vision and provide better service to our customers combining equipment data analysis, process and performance optimization.
The IoT Equipment Data Analyst is responsible for processing and analyzing data from IoT devices installed on various equipment and collected by BOBST Connect. This role involves analyzing trends, patterns, and insights that can drive business decisions, optimize equipment performance, and reduce operational costs.
Key Responsibilities (to do)
Data Analysis and Visualization:
- Analyze data to identify patterns, anomalies, and trends related to equipment performance, usage, and maintenance.
- Create dashboards and visualizations to communicate insights to stakeholders in a clear and actionable manner.
- Collaborate with Technical service support, Product line R&D, IoT scientists and developers, technicians to ensure seamless root causes analysis on identified deviations.
- Assist development to build the right algorithm/solutions.
- Generate commercial leads based on data analysis.
Collaboration and Customer’s interactions:
- Prepare detailed reports and presentations for Customers, outlining key findings and recommendations for action.
- Provide ongoing support for data-driven decision-making processes within the organization.
Optimization:
- Continuously monitor and improve data analysis processes across the organization.
- Stay up to date with the latest developments in BOBST IoT features and industry best practices (Operational excellence).
- Train & spread daily data use mindset in the organization.
- Support & develop regional key users.
Professional skills (to know):
- Good knowledge of Industrial equipment manufacturing, packaging equipment processes is a plus. Knowledge of BOBST equipment for Folding carton, corrugated board, flexible and label industries is a plus.
- Collaboration with field engineers and travel to sites where IoT-enabled equipment is deployed may be required.
- Attention to detail and a strong commitment to accuracy and quality in data analysis.
- Experience in Customer Technical support is a plus.
- Strong problem-solving skills with the ability to analyze complex datasets.
- Familiar to program and configure data visualization tools such as Tableau, or similar.
- Entrepreneurship, Pro-Active & result oriented.
- Ability to understand our customers business and its opportunities for BOBST Connected services.
- Base knowledge around LLM and AI.
Behaviors (to show):
- Interest in customer relationship and services promotion.
- Excellent communication skills, both written and verbal, to convey technical information to Customers.
- Ability to work collaboratively in cross-functional teams and manage multiple projects simultaneously.
- Strong work ethics and values.
- Strong capacity to build bridges between different parties (Product lines, IoT, Customers, etc.).
- Structured way of working.
- Ability to prioritize.
- Create trust in conversations with customers and with BOBST stakeholders.
- Respect in dealing with colleagues.
Education and Experience:
- Min. 5 years of technical professional experience in packaging equipment manufacturing industry.
- English proficiency, French, other languages are a plus.
- Good understanding of BOBST markets and dynamic.
- Knowledge of databases and SQL requests.
For more than 130 years, and over 50 countries, BOBST has always been at the forefront of innovation and we want to accelerate connectivity, digitalization, automation and sustainability to make packaging better than ever. BOBST is one of the world’s leading suppliers of equipment and services to packaging and label manufacturers in the folding carton, corrugated board and flexible materials industries. Join our highly qualified staff and together, let’s shape the future of the packaging world.
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IoT Equipment Data Analyst Arbeitgeber: Pouly Tradition
Kontaktperson:
Pouly Tradition HR Team
StudySmarter Bewerbungstipps 🤫
So bekommst du den Job: IoT Equipment Data Analyst
✨Tip Number 1
Familiarize yourself with BOBST's IoT features and the specific equipment used in the packaging industry. Understanding the technology and its applications will help you stand out during discussions with our team.
✨Tip Number 2
Showcase your data analysis skills by preparing a sample dashboard or visualization that highlights trends in equipment performance. This practical demonstration can impress us and illustrate your capabilities.
✨Tip Number 3
Network with professionals in the packaging and IoT sectors. Engaging with industry experts can provide insights into current trends and challenges, which you can reference in conversations with us.
✨Tip Number 4
Prepare to discuss your experience in cross-functional collaboration. Highlight specific examples where you've worked with diverse teams to solve complex problems, as this is crucial for the role.
Diese Fähigkeiten machen dich zur top Bewerber*in für die Stelle: IoT Equipment Data Analyst
Tipps für deine Bewerbung 🫡
Understand the Role: Before applying, make sure you fully understand the responsibilities and requirements of the IoT Equipment Data Analyst position. Tailor your application to highlight relevant experiences and skills that align with BOBST's vision.
Highlight Relevant Experience: In your CV and cover letter, emphasize your technical experience in the packaging equipment manufacturing industry. Mention any specific projects or roles where you analyzed data, collaborated with teams, or optimized processes.
Showcase Communication Skills: Since the role involves preparing reports and presentations for customers, demonstrate your excellent communication skills in your application. Provide examples of how you've effectively conveyed technical information to non-technical stakeholders.
Demonstrate Problem-Solving Abilities: Include examples in your application that showcase your strong problem-solving skills. Discuss how you've tackled complex datasets or resolved issues in previous roles, particularly in relation to data analysis and equipment performance.
Wie du dich auf ein Vorstellungsgespräch bei Pouly Tradition vorbereitest
✨Understand the Industry
Make sure you have a solid grasp of the packaging equipment manufacturing industry, especially BOBST's role in it. Familiarize yourself with their products and services, as well as recent innovations in IoT technology that could impact their operations.
✨Showcase Your Data Skills
Be prepared to discuss your experience with data analysis and visualization tools like Tableau. Highlight specific projects where you've successfully identified trends or optimized processes using data, as this will demonstrate your ability to contribute to BOBST's goals.
✨Emphasize Collaboration
Since the role involves working closely with various teams, be ready to share examples of how you've effectively collaborated in cross-functional settings. Discuss how you build relationships and communicate technical information clearly to non-technical stakeholders.
✨Prepare for Customer Interaction Scenarios
Given the importance of customer relationships in this role, think of scenarios where you've had to present findings or recommendations to clients. Practice articulating your insights in a way that is actionable and relevant to their needs.