Data Analyst

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Employer: Inetum Romania
Domain:
  • Others
  • IT Software
  • Job type: full-time
    Job level: 1 - 5 years of experience
    Location:
  • BUCHAREST
  • Updated at: 20.07.2021
    Short company description

    Inetum is an IT services company that provides digital services and solutions and a global group that helps companies and institutions to get the most out of digital flow. The Inetum group is committed towards all these players to innovate, continue to adapt and stay ahead. With its multi-expert profile, Inetum offers its clients a unique combination of proximity, a sectorial organization and solutions of industrial quality. Operating in more than 26 countries, the Group has nearly 27,000 employees and in 2020 generated revenues of €1,965 billion.

    Inetum Romania is an important player in the IT services and solutions market in our country, with over 14 years of activity. It is a stable, growing and profitable company with over 500 employees who provide, from the service centers in Bucharest, Pitesti and Constanta, IT consulting services, infrastructure and software development services, digital services, solutions for Smart City.

    Requirements

    git (GitLab, IntelliJ), Hadoop (Hue, Hive), SQL (high experience needed)
    Master data management (MDM) knowledge
    Data exploration and visualization tools (Spotfire preferably, but the knowledge of other tools of type SAP BI, Tableau or QlikView/QlikSense is acceptable)
    Experience working with warehouse data
    R or Python, statistical methodologies
    General knowledge of cloud environment, especially Google Cloud Platform
    Agile project management, especially Scrum and/or Kanban

    Responsibilities

    Coordinate with architects and business analysts in analyzing data from operational systems or the data lake
    Build the target analytical model and validate it with the data engineers
    Assimilate the big data technologies and manage common changes of the data integrations
    Document the technical steps taken
    Data exploration and ad-hoc analysis, for specific needs
    Push for new approaches which increase the efficiency of the team

    Other info

    Interesting salary conditions
    Career plan (professional, academic, and financial)
    Yearly professional evaluation
    Professional and friendly working environment
    Undetermined period of contract
    Meal Tickets
    Medical Assurance