Data Analyst
3d ago

Main Activities and Responsibilities

Support on customer satisfaction programmes

  • Support sample and survey data collection across Elsevier's feedback programs, including the global NPS (Net Promoter Score) program.
  • Monitor automated data-feeds for surveys and other operational data.
  • Help to automate the sample collection process (using tools such as SQL, KNIME and / or Python)
  • Programme questionnaires in ConfirmIT ConfirmIT knowledge advantageous, training will be provided if there is no prior knowledge)
  • Oversee incentive fulfillment for survey participants.
  • Manage GDPR requests and customer responses to survey invitations.
  • Support on customer market research projects

  • Provide analytical support on large scale international annual studies benchmarking the performance of key Elsevier products as and when requried
  • Support on customer market research projects

  • Ensure rigourProvide support on global reporting and existing dashboards which use ConfirmIT (our survey tool). Help maintain our web presence on Elsevier's intranet site.
  • Ensure rigour

  • Ensure that there is high standard of rigour on projects.
  • Responsible for quality checks. Examine data closely for the identification of outliers, anomaly identification, etc, and take remedial action as appropriate.
  • Clean data files thoroughly and accurately in Excel
  • Maintain detailed documentation providing step by step guide of processs, including data sources and data definitions.
  • Collaborate effectively with team members to define project requirements, timelines, and outcomes.
  • Provide accurate status reporting to supervisors and management
  • Functionaal and Technical Competencies

  • Organised with great project management skills, able to balance several projects at once and work to tight deadlines.
  • Has good knowledge of databases (e.g. SQL). Able to identify interesting patterns in data sets and drive insight from data.
  • Basic knowledge of HTML, CSS, or JScript / JavaScript (preferred)
  • Experience or knowledge of data manipulation techniques (knowldge of tools such as Knime, SPSS advantageous)
  • Knowledge of viusalisaion applications such as Tableau a plus.
  • Knowledge of survey software (ConfirmIT particularly advantageous), willingness to learn key.
  • Excellent knowledge of Microsoft applications especially Excel.
  • Education, Knowledge and Experience

  • Educated to degree level or equivalent, preferably in sciences
  • Hard working, methodical with strong attention to detail. Highly numerical.
  • Personable and a good communicator.
  • Ability to think independently and solve problems
  • A good command of written and oral English.
  • Comfortable working with large data files
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