Data Analyst (Automotive Domain)

  • Dnipro
  • Kharkiv
  • Kyiv
  • Lviv
  • Odesa
  • Data Analysis

Are you into Data Analysis? Do you feel at home in the world of Data Modelling? Would you like to work in the Automotive Domain? Then you will enjoy our new opportunity.


GET (Global Editorial Tools) are internationally used editorial tools for automotive repair and maintenance information. Related data is spread over many different domains, such as technical data, diagnostics data, repair manuals, labour times, parts, wiring diagrams, etc. Each domain requires a custom tailor made application for most efficient data capture capabilities. The tools need to be accessible from the different international subsidiaries.

You will be involved into adding new great features to the product and its launching on new markets.

Meet your team!
  • Responsibilities

    • Utilization and integration of Manufacturer’s data
    • Participate in estimation and planning sessions
    • Contribute to the development of technical project documentation and user documentation
    • Provide assistance to test engineers and support personnel in solving technical issues of data validation and integration
    • Participate in conference calls and face-to-face meetings with the Customer and Customer’s partners
    • Report status and progress according to the project and Company demands
    • Spot current deficiencies in the development process, adopted procedures and engineering practices, environment configurations, etc., and suggest improvements
    • Escalate technical issues to the Architect, Team Lead, and Project Manager
    • Improve qualification within the area(s) of expertise at various training courses, seminars, and/or other educational organizations
  • Requirements

    • 4+ years of commercial experience in the IT industry developing web solutions
    • Fundamental Knowledge of database management systems (Access, MySQL, Oracle, Adabas, Transbase, PostgreSQL, T-SQL)
    • Good knowledge of SQL
    • Distinct knowledge of data exchange formats like XML, CSV
    • Experience in handling large amounts of data
    • Analytical skills and attention to details
    • Еxcellent relationship management and Client Coordination skills
    • Structured and analytical work
    • Fair knowledge and understanding of technology concepts, including the ability to adapt quickly
    • At least Upper-Intermediate level of English
  • Personal Profile

    • High level of self-organization
    • Attention to details
    • Excellent communication skills