Junior Research Analyst

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Employer: QUALITANCE
Domain:
  • IT Software
  • Job type: full-time
    Job level: Student/Graduate
    Location:
  • BUCHAREST
  • Updated at: 07.08.2017
    Remote work: On-site
    Short company description

    We develop revolutionary digital solutions that leverage next generation technologies - AI, blockchain, machine learning, IoT, AR, VR, bringing to life amazing user experiences. It’s people who make software, not robots – and many companies tend to forget that. We are social creatures, and we want to work together on things that are meaningful to us, in ways that make us become better and better each day.

    Requirements

    - Background or a great interest in at least one of our targeted industries: Biomedical Engineering, Medical Technology, Biotechnology or Healthcare Industry
    - Great attention to details, natural ability to make connections between different data
    - Results-oriented
    - Self-driven, ambitious, bright, analytical mind
    - A passion for technology & innovation
    - Any experience in Research, Data Analysis, Marketing is a plus
    - Proficiency in English, both spoken and written - mandatory

    Responsibilities

    - Understand clearly which are the subjects for your research projects and make your own planning for the way the information should be presented to stakeholders
    - Research, research and ... research for relevant information and data on specific subjects, set by your direct Manager
    - Use your skills in finding that data that does count and be able to accurately select the relevant information and separate it from everything irrelevant on a certain topic
    - Obtain any details that will help you plan your research project - don’t be afraid to ask questions
    - Deliver relevant reports and present insights to keep stakeholders aware of anything that can have an impact on the business
    - Continuously improve knowledge in specific industries, where our business has great impact
    - Data checking and analysis, looking for patterns and stories in data
    - Build awareness, emphasize key-information
    - Develop knowledge in new research approaches and hot topics in innovation

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