Expert Data Analyst

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Angajator: Hunt Recruitment
Domeniu:
  • IT Software
  • Management - Consultanta
  • Marketing
  • Tip job: full-time
    Nivel job: peste 5 ani experienta
    Orase:
  • BUCURESTI
  • Actualizat la: 08.05.2017
    Remote work: On-site
    Scurta descriere a companiei

    Hunt Group – a mix of recruitment (executive search and head hunting) and outsourcing activities in industries such as IT, oil&gas, banking, finance and automotive.

    Cerinte

     University degree or higher in Mathematics, Economics, Computer Science, Information Management or Statistics along with solid occupational experience in the related field
     Job experience: minimum 7 years overall working experience and minimum 5 years of practical experience in data analytics area
     Advanced knowledge of PL/SQL or T-SQL
     Advanced knowledge of R programming language
     Advanced knowledge of SQL Reporting Services, Microsoft BI, Business Objects, Spotfire or Tableau
     IT business analysis skills
     Proven working experience as a data analyst or Oil and Gas business data analyst
     Technical expertise regarding data models, database design, data mining and segmentation techniques
     Strong analytical skills with the ability to collect, organize, analyse and disseminate significant amounts of information with attention to detail and accuracy
     Solid ability to innovate, suggesting improvements to the work related to own and adjacent activities, participation in developing solutions to complex problems and identify opportunities to improve activities
     Good command of English language – C1 level
     ITIL knowledge will be an advantage
     Experience in Oil&Gas industry will be an advantage

    Responsabilitati

     Drive implementation & optimization of IT Applications services following Upstream Application landscape rules and direction
     Analyses the business requirements for the services in scope, aligns with business and/or IT customers
     Developing and implementing databases, data collection systems, data analytics and other strategies that optimize statistical efficiency and quality
     Interpreting data, analyzing results using statistical techniques and providing ongoing reports
     Acquiring data from primary or secondary data sources and maintaining databases/data systems
     Make primary interpretation of trends or patterns in complex data sets

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