Expert data

3 weken geleden


Veldhoven, Nederland ASML Voltijd

As we enter a new era of technology, everything and everyone will be more connected, and the lines between the physical and digital worlds will become less distinct. Rapid advancements in generative AI, self-driving cars, and artificial intelligence are driving an increased demand for advanced chips. At ASML, we are at the forefront of these changes with our technology, making it essential for our workforce to be well-organized and to be fully empowered to meet our clients' needs. With these developments, the need for actionable workforce insights from our People Analytics expertise team is also rapidly growing. Therefore we are expanding our team and are looking for an energetic and hands-on senior people analytics expert to join our team. In this role, you will be pivotal in translating complex people data into actionable insights that enhance organizational effectiveness and support our HR and business leaders in navigating this evolving landscape.

As a member of the People Analytics expertise team, you will play a crucial role in transforming people data into actionable insights that drive strategic decision-making across the organization. Collaborating with a diverse range of stakeholders—including business leaders, people managers, the HR leadership team, you will help shape the future of our workforce. Your main responsibilities as a senior people analytics expert will include:
· Lead people analytics projects hands-on and end-to-end: collaborate with stakeholders and people analytics translators, data scientists and analysts from design to delivery.
· The focus of your work may change over time based on the team's priorities and needs. Create strategies and facilitate the deployment of reliable data sets to advance data democratization across the organization.
· Design and support change initiatives that foster a data-driven culture transformation in HR, including the development of training materials and innovative concepts.
· Bachelor’s degree in Econometrics, Actuarial Sciences, Business Analytics, Human Resources, Business Administration, Data Science, or a related field; Master’s degree or PhD preferred.
· for example people analytics, HR consulting or data analytics.
· Experience with HRIS (Workday), People Analytics technology, agile working and data management practices is a plus.
· Demonstrable experience collecting, correlating, analyzing and presenting workforce and other data sets netting decision-maker influence and results.
· Strong business acumen and stakeholder management skills, with the ability to partner effectively with senior leaders and subject matter experts to drive results whilst working through uncertainty.
· Technical proficiency to identify how our team can leverage data science, generative AI, and scenario modeling techniques responsibly within our projects.
· Conceptual and creative thinking with the ability to break down complex ideas into practical steps that deliver value and generate impact over time.
· Excellent English communication and presentation skills, with the ability to deliver findings clearly and persuasively to senior business and HR leadership. Translating complex data into clear and actionable stories and recommendations.
· Solid understanding of data privacy protection laws and AI regulations (e.g., A collaborative team player who effectively engages and manages stakeholders and colleagues while taking a hands-on approach and demonstrating ownership and accountability.

If you are passionate about using data to drive people strategies and want to be part of a forward-thinking organization, we would love to hear from you Join us at ASML and help us shape the future of our workforce through innovative people analytics

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. Need to know more about applying for a job at ASML? Master,PhD
Employment Type:
FULL_TIME
Team:
Data and Analytics


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