Collect business requirement and develop advanced data mining solutions or identify, assess and deploy relevant existing data mining, machine learning and business intelligence solution;
Specification and design of presentation interfaces with optimal usability/user experience;
Identify, collect, convert and update different data types/sets in several locations (e.g. ETL);
Produces data models according to specific problems statements;
Scripting and programming;
Contribute to the design and implementation of the analytics architecture and its solution stack (including performance aspects, physical design, capacity dimensions etc…);
Write the different documentation associated with the tasks and liaise with other project teams as necessary to address cross-project interdependencies.
Requirements
University degree in IT or relevant discipline, combined with minimum 15 years of relevant working experience in IT;
Experience with languages like R, Python, PERL;
Experience with front-end development (e.g. Angular);
Excellent knowledge of Data Analytics techniques and tools;
Good knowledge of Oracle and SQL tooling (NoSQL DB, MongoDB, Hadoop, SQL);
Good knowledge of continuous code delivery and unit testing;
Good knowledge of business intelligence tools (Tableau, SAS, SAP, GoodData…);
Good knowledge of business intelligence tools;
Knowledge of ETL processes and tools;
Knowledge of architectural design and implementation of scalable modern data stores;