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
• Lead project management around key projects of the HR analytics portfolio and lead or contribute to cross-functional initiatives including data foundation and analytics governance
• 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

Your professional profile includes:

• Degree in business, economics, organizational psychology, information technology, data science or statistics
• 6+ years of analytics, statistics or data science in a corporate environment preferred, but open to more junior profiles as well
• Experience of working in, or closely with, Human Resources
• Experience in project management and working in cross-functional analytics initiatives
• Experience working with financial or workforce data an advantage
• Data problem solving, Data storytelling
• Conception Skills (data/information modelling, testing, algorithmic optimization, prototyping, wireframing, …)
• Strong data visualization skills, ideally with experience of Tableau or similar tools
• Excellent spreadsheet skills
• Knowledge in data programming languages, such as R or Python an advantage
• Ablity to exercise independent judgment and take action on it
• High numeracy and ability to work with financial data, producing accurate results
• Creative problem-solving skills. Can see the big picture and weigh alternatives against multiple considerations
• Able to working with uncertainty, such as incomplete data, and understand and communicate the implications
• Can-do attitude to leveraging data to solve business problems
• Excellent listening, interpersonal and presentation skills
• Strong customer experience mindset
• Fluency in English