Data analyst - global warehousing services

In the Global Warehouse Service (GWS) department we are looking for a strong Global Warehousing Services data analyst to take analytics and performance management to the next level. To support our customers in the continuous operation of ASML machines in their chip production fabs, ASML keeps spare parts and tools in warehouses close to our customers. In total we have around 60 service and factory warehouses globally. The Global Warehouse Service team, is tasked to ensure  the warehouses are ready to support our customers in the most efficient way. This means that all facilities need to be fit for purpose, provide enough space, sufficient skilled manpower that use the standard way of working, and performance reporting needs to be in place.

The performance of the current warehouses is measured over several KPI’s (Key Performance Indicators). It will be your responsibility to support operations with reporting via maintaining tools and dashboards, improving them from either own initiative or suggestions coming from your stakeholders. With your support, the data will be used by business representatives to manage external parties, like 3PL’s. You will participate in improvement projects, by providing relevant data and develop reporting tools towards new business needs. Based on the insights from data, it will be your task to provide suggestions for improvement opportunities coming from benchmarking across global warehouses. You will be closely working with finance representatives to link operational performance of warehouses with their financial performance, within the monthly reporting schedule. The organization changes will require your support to enable implementation of standard KPI’s towards new warehouses.

On top of this, You will:

• Maintain, improve and develop the warehouse reporting tools and dashboards in close cooperation with operations

• Analyze and present the results, from detailed to high level

• Maintain process adherence, identify gaps and opportunities for improvements

• Support in performance management of the ASML warehouses and link with financial performance

• Initiate and drive improvements that resolves structural issues

• Support or manage warehousing improvement projects

• Build relationships with wide range of internal and external stakeholders, for example: IT, operations, business, management

• Master in Supply Chain Management, Operations, Mathematics, Finance,

• 3-5 years experience in data analytics & reporting

• Analyzing and interpretating big sets of logistics data, including visualization

• Experience in Excel, Spotfire, SAP and PowerBI

• Background in a Supply Chain or Warehousing

• Experience in programing and building scripts

• Financial background is an advantage

• Experience with 3PL’s is an advantage

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.

If you recognize yourself in the following points, you’re likely to be successful in this job:

• Internal drive for data analytics and reporting

• Extensive problem solving skills

• Capability to interpret and translate data and present to different stakeholders

• Pragmatic & proactive

• Ability to work effective in multidisciplinary teams

• Ability to communicate effectively with different stakeholders and understand the internal customer needs

• Team player and (internal) customer focused

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: 4-9 years

Travel: No

Education Level: Master

Employment Type: FULL_TIME

Team: Data and Analytics

Technical Field: