Overseeing high performing, multidisciplinary members of the Data & Analytics team, you will design and build complex visualisations and analytical models to understand the impact of various market or operational changes to our business
Work closely with the operational and functional areas to identify, prioritise and deliver on their most pressing and impactful analytical use case turning complex findings into simple visualisations and recommendations for execution
Analyze and interpret large (PB-scale) volumes of transactional, operational and customer data using proprietary and open source data tools, platforms and analytical tool kits
Be part of a fast-paced industry and organisation where time to market is critical
Requirements:
Degree in a quantitative discipline, as Mathematics, Statistics, Actuarial Sciences, Computer Science, Engineering or Life Sciences
Minimum 8 years of industry experience applying advanced analytics
Demonstrated experience in the application of analytical techniques to guide operational improvements, scheduling, asset utilisation or investment decisions and of supervising the work of others, preferably analytics or engineering roles
A desire and ability to think abstractly, solve problems and deal with ambiguity
Enthusiasm and drive to be a leader in our team, helping shape and develop its future
Strong communication, presentation, project management and time management skills
Advanced competency in two or more of the following:
- Analytical software (e.g. R, SAS)
- Data visualisation tools (e.g. Qlikview, Tableau, PowerBI,)
- A relational or graph database management tool (e.g. SQL, NoSQL, Neo4J) Programming. (e.g. VBA, C++, Java, Python)