Data Analyst / Associate Data Scientist

Employer: Inetum Romania
Domain:
  • IT Hardware
  • IT Software
  • Job type: full-time
    Job level: 1 - 5 years of experience
    Location:
  • BUCHAREST
  • Updated at: 24.01.2022
    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 center in Bucharest, IT consulting services, infrastructure and software development services, digital services, solutions for Smart City.

    Requirements

    Strong coding skills (with hands on experience in one of R/Python/SAS)
    Strong analytical skills (ability to collect, organize, analyze and disseminate large data volumes)
    Good awareness on statistics / machine learning/ predictive modeling techniques
    Python/R for data quality and exploratory analyses
    French basic-medium level (willing to learn and improve)
    Basics of data / modular programming
    Experience with identifying trends, patterns, and outliers in data
    Strong attention to detail and accuracy
    Good communication skills

    Responsibilities

    Must be self-directed and comfortable supporting the analysis needs of multiple teams / apps.
    Ability to communicate analysis (using visualization tools) in a clear way with decision orientation
    Work closely with product teams to implement algorithms with Python and/or R.
    Work with data and analytics experts to scale up data quality in systems
    Conduct data quality checks and exploratory analysis
    Write code for automated data extractions
    Analyze and interpret data based on statistical and machine learning algorithms
    Communicate results and issues to stakeholders