Job Description

Taylor & Francis have an opportunity to join their Research & Analytics Department as a Data Assistant on a maternity contract basis. This role supports the provision of data and reports and information to inform the strategic decision making and evidence-based practice of Taylor & Francis books and journals staff globally. As part of a central team, the Data Assistant would have the opportunity to work on reporting that is key to many departments across the business, while learning new skills including data tools such as Excel, Power BI and SQL. The role will also support users from across the business with queries relating to the work of the team and actively communicating updates on behalf of the team.

The role will involve a wide range of tasks supporting reporting areas across the team, with a focus on electronic usage, order and sales data. The role may also be required to assist with projects or other areas of support across the wider team.

The successful candidate will be able to utilise our balanced working model. We ask that candidates live within a commutable distance of our office in Milton Park, Oxfordshire, to ensure that as a balanced worker they can make it to our office to collaborate as required. For this role, a minimum of one day per week will be based in our office in Milton Park, with the rest worked from home.

Closing date for applications: 15th November 2024.

What you’ll be doing?

  • Fulfilling data and report requests based on internal/external sources.
  • Updating weekly/monthly reports & dashboards.
  • Testing new data sets/reports and bug investigation.
  • Editing instructions and FAQs.
  • Maintaining departmental mapping files, keys and discoverability/training resources.
  • Setting up user accounts for reporting systems.
  • Developing a good working knowledge of the specialist area in order to answer business queries and develop the required context to deliver on data and reporting requests.
  • Co-managing the team inbox, answering queries or directing them to the most relevant team member.
  • Organising meetings and compiling agendas within the team and externally.
  • Supporting and assisting Data Analysts in the team with their work as needed.
Type:
Permanent
Contract Length:
N/A
Job Reference:
406000272037840
Job ID:
1258000000000341710

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