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Senior Data Analyst

UCL - Student Data Quality team

Location: London, Hybrid
Salary: £51,474 to £60,521
Hours: Full Time
Contract Type: Permanent
Placed On: 11th April 2024
Closes: 30th April 2024
Job Ref: B01-04243

About us

UCL is London’s Global University and ranked 9th in the world (QS World University Rankings 2024). A new Institutional Strategy is underpinned by six key enablers, all of which require good data management and reporting (operational and strategic).

Student Operations is responsible for the student record - its management and quality - as well as the principal functions supporting the student lifecycle (e.g. exams, timetabling, curriculum information). The department is also responsible for student statutory reporting to external stakeholders (e.g. HESA, OfS, GMC). There is a close working relationship between Student Operations and SRS Education Services, as well as with the Office of the Vice-Provost (Education & Student Experience).

About the role

We are seeking to appoint a Senior Data Analyst to support the demands on data analysis and reporting. This post will be part of the new Student Data Quality team.

You will work with the Head of Student Data to develop the team into a coherent function. The specialist skills you will bring to the role relate to:

  • Data management - You can ensure data governance is part of data management processes and can monitor its effectiveness across other organisational governance structures. You can deliver the assurance of a team service because you have a depth and breadth of knowledge and experience relating to data lifecycle management.
  • Data analysis and data visualisation - You can visualise data for stakeholders in multiple ways that are relevant to strategic and operational goals. You can interrogate complex databases and identify trends including gaps in quality because you have experience in using mainstream data science programming languages (such as Java, Python) for data extraction, transferring and transforming data and statistical data analysis.

If you have any queries about the role, please contact Daniel Farrell at:

About you

The successful applicant will have significant experience managing complicated data analysis using mainstream tools across multiple datasets (e.g. space, finance, HR, student, CRM) in an education setting. This will be combined with practical skills in using a range of technologies including SQL, Azure Data Factory, Azure Synapse, Azure ADLS Gen2 (Data Lake), PowerBI and Python, to conduct advanced data analysis.

You will have clear verbal and written communication skills, including accurate grammar, spelling and punctuation. You will also have excellent planning, organisational and decision-making skills, with the ability to coordinate a range of simultaneous tasks or activities, exercise initiative and problem-solve effectively.

What we offer

As well as the exciting opportunities this role presents, we also offer some great benefits some of which are below:

Visit https://www.ucl.ac.uk/work-at-ucl/rewards-and-benefits to find out more.

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