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Remote Student Data Analyst

Position: Student Data Analyst

Job Type: Full Time

Salary: £45,000 a year

Location: Remote

Employer: University of Law

Application Deadline: September 20th, 2026

About This Role

At The University of Law, we’re looking for a Student Data Analyst to join our Student Data and Governance department. This is a permanent, full-time position working remotely, with the occasional attendance required on campus. The post holder will support the receipt, validation, cleansing, preparation, and import of student data received from partner institutions into the University’s Student Information System.

The post holder will work closely with colleagues in Student Data and Governance, partner-facing teams, and relevant internal stakeholders to investigate and resolve data quality issues, support data correction activity, and maintain clear records of data checks, queries, decisions, and outcomes. The role will help ensure that partner data can be used reliably for student lifecycle management, statutory reporting, operational reporting, and management information.

You can view the job description here for this vacancy and associated Roles and Responsibilities.

As our Student Data Analyst, you will:

  • Receive, review, and validate student data submissions from partner institutions.
  • Check partner data against agreed templates, data standards, business rules, and submission requirements.
  • Clean, prepare, and transform partner data so that it is suitable for import into Banner and related student systems.
  • Record, track, and help resolve issues identified during testing, validation, or post-import review.
  • Support the creation, maintenance, and distribution of student data reports for operational and regulatory purposes

We are looking for people who are/have:

  • Degree or equivalent experience in data management, data analysis, systems analysis, computing, business analysis, or a related field.
  • Experience working with large or complex datasets in a data, reporting, systems, or business analysis role.
  • Experience validating, cleansing, reconciling, or preparing data for operational or reporting use.
  • Understanding of data validation, data quality, data structures, and data management processes.
  • Strong interpersonal and communication skills
  • Enthusiastic and adaptable approach to change and innovation
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Benefits

On top of a competitive salary of £45,000, we provide a generous annual leave entitlement of 30 days, and there’s a rewards package that includes:

  • Private Medical Scheme and Life Assurance
  • Contributory Pension Scheme
  • Training and Qualifications (including Course Sponsorship/Fee Discount)
  • Season Ticket Loans and Student Discounts

Benefits & Wellbeing information

Closing date for this position is Sunday 20th September 2026 (midnight)

Please note: We reserve the right to close this vacancy early if we receive sufficient applications for the role. Therefore, if you are interested, please submit your application as early as possible.

At The University of Law, you will work alongside other like-minded professionals who are passionate about driving innovation in higher education and delivering successful outcomes for our students.

Our Approach

We are committed to ensuring our workforce is reflective of our diverse student population, striving to increase the representation of age, disability, gender identity and expression, religion, race, sex, sexual orientation, and socio-economic background of our employees.

We’re also committed to providing adjustments to those who may require support with the recruitment process – please contact the ULaw Talent Acquisition Team talentacquisition@law.ac.uk.

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Please note: For this opportunity, you must be able to prove you have the right to work in the UK – if in doubt please visit the following link Employers’ right to work checklist – GOV.UK (www.gov.uk). Please note we are not a licenced sponsor.

Some posts within the University are subject to a DBS check – you will be notified of this during the application process

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