Data Analyst/Processor

компания "brunel atyrau llp" data analyst/processor, atyrau 5/2 the role will involve data interpretation, quality control of information received from instrumentation located throughout the north caspian. the candidate will also assist with offshore and onshore operations and logistics. requirements: the candidate should be good english speaking, have a relevant science/engineering degree (instrumentation), good numeracy skills. the candidate may be experienced or even a just graduated with a good knowledge of computers particularly microsoft office (excel) matlab is also an advantage however; full training will be given to the successful candidate. desirable graduates of apec college or young fresh graduates who trained at abroad. responsibilities: maintenance, cleaning, testing and preparation of all metocean equipment at base office and work sites prior to, during and post-field service visits, deploy and recover of meteorological and oceanographic equipment to do data interpretation and qc/qa of information received from instrumentation located throughout the north caspian annalistic and investigative approach to data analysis, to find problems as they occur programming on visual basic and crbasic languages, performing fat tests to do in properly maintaining equipment, consumables and software inventories, including status flagging, calibration or servicing requirements, location and actions required maintain data transmission via satellite, radio, gprs and lan connections, interfaces and io filedbus, serial communications prepare weekly, monthly and annual qa reports for clients, make a presentation to see current changes on data creating schemes and perform internal pre-installation works of sensors and loggers, station installation on site fully trained in the use of hand tools, operation and test equipment, calibration tools and simulation devices. troubleshoot hardware, software and systems failure using established procedures and determine the most cost-effective repair/resolution to minimize customer downtime.