Supply Chain Data Analyst

Currently, the Planning & Delivery department within the Supply Chain organization of ASML is looking for an Inventory Data Analyst / Specialist to join the Integral Demand & Supply team! As Data Analyst, you are a structured person with strong data management skills. You support performance management and work closely with diverse teams to develop and drive projects from inception to completion. You make the link in our reports to efficiently improve inventory management topics like reducing inefficient inventory, over-planned inventory and/or excess & obsolescence inventory.

As Data Analyst, you:

• Analyze inventory data generated out of the inventory management system

• Collaborate with other Departments to provide reporting and analysis requirements

• Maintain ASML Inventory bucketing logic, always searching for optimizations and improvements

• Generate business insights by converting performance data into visuals, reports and dashboards that can be used to take appropriate action

• Establish and maintain relevant information database for analysis, reporting and decision-making

• Interacts with cross-functional stakeholders and with IT to raise and explain issues; methods, results and recommendations

• Be contact person for inventory related topics towards the stakeholders (sectors and BLs)

• Set-up inventory related improvement projects and contribute to the execution of it

• Give advice to the organization on inventory related topics based on your analyses and experience you gathered

• Bachelor or Master level in Business Administration, Supply Chain Management, (Industrial) Engineering or comparable

• 0-3 years relevant work experience or background in Supply Chain Management and/or Inventory Management is a must

• Strong analytical skills. Must be able to read and interpret data, information, and documents (big data, business intelligence) and ability to convey interpretations to the business

• Experience in building and maintaining reporting/tools

• Proficient knowledge of BI tooling (e.g. Spotfire, Power BI) is a must

• Programming skills (Python and/or SQL) is a must

• A conceptual understanding of IT systems, for instance knowledge of SAP BW/HANA, is a plus

• Knowledge/practical experience in ERP systems (SAP) is a plus

Working at the cutting edge of tech, you’ll always have new challenges and new problems to solve – and working together is the only way to do that. You won’t work in a silo. Instead, you’ll be part of a creative, dynamic work environment where you’ll collaborate with supportive colleagues. There is always space for creative and unique points of view. You’ll have the flexibility and trust to choose how best to tackle tasks and solve problems.
To thrive in this job, you’ll need the following Skills:

• Hands-on mentality

• Commitment to continuous improvement

• Pro-active and result driven-demonstrate ownership and accountability.

• Identifies bottlenecks and drives improvements

• Work independently or as part of a team and follow through on assignments with minimal supervision

• Demonstrate open, clear, concise and professional communication.

• Can observe and respond to people and situations and interact with others encountered in the course of work

• Can learn and apply new information or skills

• Confident, convincing and calm under stress

• Verbal and written language skills in English

Need to know more about applying for a job at ASML? Read our frequently asked questions.

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: 0-1 year,2-3 years

Travel: No

Education Level: Bachelor,Master

Employment Type: FULL_TIME

Team: Data and Analytics

Technical Field: