Job Description

Strategically partner our HR Product Owners to assess the key business and HR Product & Service challenges to be solved by people data and analytics & translate these requirements into data driven solutions for the area. Work on high value & high complexity data challenges & leverage deep data science expertise (e.g., big data, advanced statistics, data wrangling, data mining, data analysis, predictive modelling, storytelling, data visualization, machine learning, AI, data intuition) to operationalise & continuously improve people data solutions that deliver relevant, quality assured, accurate & commercially impactful data to the business.

Requirements:

• 6 - 8 years experience in analytics, BI, reporting, data visualisation etc. with some demonstrated people data & analytics / cross domain HR experience
• Relevant B-Degree or equivalent (Advanced Degree preferred) in Statistics, Mathematics, Computer Science
• 6- 8 years experience manipulating data sets and building statistical models with at least 1-2 of these years working in people data & analytics
• Proven track record in independently developing data solutions that provide commercial / business impact
• Experience in contributing to the design and implementation of self-service data models
• Knowledge and experience working with Agile and DevOps methodologies and tools
• Expertise in data analysis, configuration and mining from ERP systems (SAP Preferred) and associated Cloud Solutions and Business / Data Warehouses (e.g. BW & SAP4HANA)
• Experience in contributing to the implementation / leverage of SaaS data solutions e.g. Visier, Cloud Analytics etc.
• Experience in data visualisation tools e.g. Power BI, other Microsoft tools, SharePoint, Qlikview/Qliksense, ServiceNow Performance Analytics
• Developing experience in / aptitude for applying and implementing machine learning and AI in the people analytics context with proven track record in enabling predictive analytics etc. as a result
• Preferred experience optimising and building complex data sets with knowledge of & experience in e.g. Java, Scala, Python, Hadoop, Apache Spark, SQL, R and Kafka etc. / other
• Proven experience in optimising, interpreting, analysing, & transforming data by leveraging some of the following data science skills:

• Leveraging big data pipelines and data sets Data Mining
• Data Optimisation
• Data Analysis & Interpretation
• Advanced Statistics
• Feature Engineering (or the guidance thereof) Predictive Modelling
• Distributed Computing
• Machine Learning
• Data Intuition
• Data Quality Assurance
• Data Governance

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