HR Analytics Expert

at  Givaudan

Step into our world of creativity and joy!
HR Analytics Expert
Join us and celebrate the beauty of human experience. Create for happier, healthier lives, with love for nature. Together, with kindness and humility, we deliver food innovations, craft inspired fragrances and develop beauty and wellbeing solutions that make people look and feel good. There’s much to learn and many to learn from, with more than 16,000 employees around the world to explore ideas and ambitions with. Dive into varied, flexible, and stimulating environments. Meet empowered professionals to partner with, befriend, and stretch your skills alongside. Every day, your energy, your creativity, and your determination will shape our future, making a positive difference on billions of people. Every essence of you enriches our world. We are Givaudan. Human by nature.

HR ANALYTICS EXPERT - YOUR FUTURE ROLE?

As an HR Analytics Expert based in the United Kingdom, France or South Africa, you will partner with HR and business stakeholders to provide data insights to enable business decisions and to create value for the business. You will employ Advanced Analytics tools and skills to deep dive on improtant questions; find and share data insights with stakeholders. You will leverage a strong domain expertise of HR Data and how it can be used in new ways to contribute to Business Impact.
You will report to the People Analytics and Insights Lead.

YOUR CORE RESPONSIBILITIES WILL INCLUDE:

• Share data insights, and provide advice and guidance to internal customers in a consultative way
• Understand how people insights can support and enable the execution of the HR and talent strategy
• Apply data problem solving skills to design and implement accurate Advanced Analytics solutions from concept to launch
• Empathize with internal customers to understand their needs, with a user centric approach and method. Co-create with colleagues and internal customers to identify the best approach that meets user, business and technical needs
• Collaborate with Data Engineers and Data Scientists on complex data analysis such as machine learning
• Provide advice, guidance and training to colleagues trying to solve analytical problems
• Exemplify best practices for data mining, such as CRISP-DM (Cross-Industry Standard Process for Data Mining), data protection and Agile working
• Apply an understanding of Human Resources (HR) capabilities, processes and data
• Apply domain expertise in Human Resources (HR) data
• Keep up-to-date with latest technology trends