Responsibilities
- 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
- 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);
- 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);
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