Experience: The Data Analyst is the 2nd step in the Geoservices Mud Logging segment career path. All personnel must have a university degree (bachelor of Sciences as a minimum) in Geology, Geological Applied Sciences, Earth Sciences or Applied Sciences, and will have proceeded through the Fixed Step Program through the positions of Mud Logging Analyst (Step 1). Data Analyst is seen as a key development position for the employee to be trained and developed towards a position of higher responsibility and accountability in the Geoservices career path. The Data Analyst is expected to progress towards a Management, Operational or Expertise position of a higher responsibility and accountability in the Geoservices career path or cross-segment career in Drilling group. Key Competencies: Knowledge of Drilling Equipment and Techniques; Understanding and calculation of Lag Time; Understanding of wellbore pressures; Knowledge and understanding of Petroleum Geology; Formation Evaluation Log Drafting; Understanding of Drilling Fluids and Hydraulics of the Drilling Fluids; Understanding of Hydrocarbon Detection; Jet Hydraulics and Optimization; Overpressure (Causes and Detection); Drilling Fluids Rheology; Gas Detection and Analysis; Understanding of Drilling Parameters, their Acquisition and Treatment; Knowledge of Geoservices Mud Logging Sensors; H2S Awareness and Detection; Understanding of Health and Safety policies in the work place; Quality Control of Data; Electric Log Interpretation; Knowledge of Drill String Composition; Knowledge of Directional Drilling; Knowledge of Casing and Cementation Design; Knowledge of Well Testing. English: Qualified Level (TOEFL independent user) Behavior: -Listens and is able to communicate effectively with managers, peers and Clients, both in written and verbally; -Ability to develop strong professional relationships with the Client and inspire trust and confidence; diplomatic and persuasive style; -Integrity. Accurate and rigorous in data reporting; -Ability to exercise his/her discretion and independent judgment; -Uses logic to solve problems with effective solutions; -Learns quickly and adapts to new systems and situations; -Is personally committed to continuous improvement; -Good technical and data monitoring and synthetic skills; able to balance a range of different views (Client and Operations); -A high level of drive, creativity and motivation to deal with problems; -Manages and provides support, coaching and guidance to less experienced employees, acts as a role model for all field staff and helps to build and maintain effective teamwork.