Analytics node lead
1 maand geleden
With the launch of the new R&R sector, a new position of ‘Analytics Node Lead’ will be established. The primary responsibility of the node lead will be to ensure that our analytics meet the standards set by ASML for supporting business strategy. Additionally, the node lead will ensure compatibility of our analytics with reporting systems used across other sectors.
Role and Responsibilities
Implementing data analytics within R&R business Strategy, Program & Operations; Contribute to optimizing business operations, identifying growth opportunities, and enhancing overall performance based on analytics
Pushing for impactful data-driven recommendations & decisions and secure embedding in the process framework
Overseeing the development and implementation of analytical strategies; Short term and Long term analytic roadmap for R&R sector
Build-up, lead and coach the team of analysts and data solution developers for R&R sector (Within whole R&R sector + dotted-lines to other sectors). Coordinate the recruitment process for analytic roles within the sector
Capability building: Guide the team to continuously develop and grow in terms of capabilities and business value.
Responsible for R&R analytic node and representing the node in DAN (Distributed Analytics Network) and other coordination. Secure cross-sectoral analytic collaboration
Alignment with program and value stream management on content and staffing. Create partnerships with business stakeholders by anticipating their needs for actionable insights.
Master of science (MSc) related to Data Science, Industrial Engineering, Business or Management
5-9 years of relevant work experience in data & analytics
Experience in people management and stakeholder management
Experience in advising and communicating with senior stakeholders
To thrive in this job, you’ll need the following Skills:
Good communication skills
Able to lead a team of cross sector team members
Negotiation skills
Analytical skills
Abstract complex information in easy and understandable information
Able to apply the right balance between perfect and good enough
Other information
Reuse & Repair sector
The R&R sector focuses on the challenges of reusing and repairing the materials that go into our systems around the world.
Our vision is to drive waste at ASML to zero. To achieve this, we realize circular material flows in close collaboration with our customer and suppliers, across sectors and Business Lines.
We unlock the value of return materials and drive learning loops to material design and processes, together with our partners. By delivering world-class parts for systems and service, we drive 'reuse before new'.
Distributed Analytics Network
This job position is part of the Distributed Analytics Network (DAN, a network consisting of analytics entities (called Analytics ‘Nodes’) throughout the different sectors at ASML. The main objective of the DAN network is to create an aligned way of working across the organization, to bring our ASML’s analytics capabilities to the next level. Being part of DAN gives you exposure to multiple teams and parts of our organization and unlocks wide growth opportunities for all our members.
If this Job Description sounds like you, please let us know We do, however, appreciate a personal motivation about why you feel you are the right candidate. So, when applying, please upload your resume and personal motivation and we will get back to you as soon as possible.
Please be aware that an online and an in-person assessment are part of the Recruitment process.
ASML is an Equal Opportunity Employer that values and respects the importance of a diverse and inclusive workforce. It is the policy of the company to recruit, hire, train and promote persons in all job titles without regard to race, color, religion, sex, age, national origin, veteran status, disability, sexual orientation, or gender identity. We recognize that Diversity and inclusion is a driving force in the success of our company.
Need to know more about applying for a job at ASML? Read our frequently asked questions.
Work Experience: 4-9 years,10-15 years
Travel: 10%
Education Level: Master
Employment Type: FULL_TIME
Team: Data and Analytics
Technical Field:
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