Re-use Supply Chain Analyst

Introduction to the job

Would you enjoy working in the sustainability and supply chain area and use your analytical and business process skills to enhance our understanding of our sustainable supply chains?  Do you have a green mindset and want to drive the sustainable supply chain to the next level by improving operational processes to enable re-use of materials? Then we have an excellent opportunity for you to grow in the ASML SCM Re-use inventory & planning team.

The Re-use department is responsible to define and operationalize sustainability strategy for current and new ASML products and processes globally. Within Re-use, inventory & planning team is global process owner and is responsible to drive the process and global release and execution planning of re-usable materials within ASML.

Role and Responsibilities

In this role, you will perform data and process analysis to support better decision-making. You will create management reports that provide insights in KPIs, trends and forecasts. You will also develop state of the art automation tool to further enhance our efficiency and effectiveness. In collaboration with business stakeholders, you will develop and implement the solutions (e.g., business applications, enhancements, process improvements) for the challenges we face on re-using of materials.

• Identify and execute re-use opportunities by translating inventory data into actionable information

• Automating operational activities to support the operational processes

• Analyze, specify and implement business rules, enhancements and process improvements in partnership with stakeholders

• Pilot improvement initiatives and support and maintain business managed applications relevant to your expertise; perform troubleshooting of incidents, and manage process changes.

Education and experience

• Relevant Master degree (e.g. in Industrial Engineering, Business Administration, Supply Chain or Engineering)

• 2-5 years relevant work experience as business analyst (or similar type of position), in Supply Chain Management context preferably in consulting firm

• In-depth understanding of supply-demand and planning concept

• Expert in data analysis, and reporting / performance measurement

• Expert in programming language such as Python

• Proficient in Excel & dashboarding tools such as Power BI or Spotfire

• Experience with Agile/Scrum software development is an advantage

• Experience in developing reports and dashboards preferably in the supply chain area

Personal Skills:

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:

• High motivation and drive to achieve results

• Pragmatic and ready to take ownership

• Flexible and able to handle ambiguity

• Excellent communication skills

Other information

Re-use department and processes are relevantly new; hence you will drive several improvement projects to further operationalize our planning framework. To achieve this, you will be closely working together with other Departments such as Engineering, Manufacturing, Sourcing & Supply Chain, etc.

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.

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Work Experience: 2-3 years,4-9 years

Travel: No

Education Level: Bachelor,Master,PhD

Employment Type: FULL_TIME

Team: Data and Analytics

Technical Field: