HR Data Excellence Specialist
hace 3 semanas
We are seeking a highly skilled HR Data Excellence Specialist to join our team at Dsm. As a key member of our HR function, you will be responsible for monitoring the HR Data framework to ensure process robustness and the highest data quality levels.
This role will involve coordinating the People & HR Data Governance, deploying Group Data standards, security policies, and procedures within the HR function. You will also present to the Data Quality Council, contribute to data governance initiatives, and manage and animate the Data Governance community.
Key Responsibilities:
- Monitor the management of HR Data from various systems and sources, ensuring data quality, integrity, consistency, and completeness of HR data.
- Coordinate the People & HR Data Governance, deploying Group Data standards, security policies, and procedures within the HR function.
- Present to the Data Quality Council, contribute to data governance initiatives, raise data quality awareness within the HR function, and manage and animate the Data Governance community.
- Manage HR data improvement initiatives, from scoping to implementation, ensuring projects are completed on time, within budget, and with high-quality deliverables.
What We Offer:
A rich history and a promising future of bold scientific innovation and passionate creation with our customers.
The opportunity to work for a company where sustainability is much more than a claim and is core to our strategy and purpose.
A space to grow by encouraging and supporting curiosity and an open mindset.A flexible work environment that empowers people to take accountability for their work and own the outcome.
Barrier-free communities within our organization where every employee is equally valued and respected regardless of their background, beliefs, or identity.
A firm belief that working together with our customers is the key to achieving great things.Requirements:
University degree in Engineering, Business, or Economics required, preferably with a Masters.1-2 years working experience, ideally with the ability to analyze, manage, and validate large sizes of data.
Our Recruitment Process:
Are you interested in this role? Please apply by submitting your CV in English.
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