Senior Planning Officer

Corehr; Oxford; On-site; GBP 35,000 - 55,000; Full time

Job summary

An established industry player is seeking a Senior Planning Officer to join their Resource Allocation team. This pivotal role involves managing computer-based data models and liaising with senior staff to support strategic planning across a prestigious institution. You will leverage your expertise in numerical analysis and Microsoft Excel to handle large data sets, ensuring accurate resource allocation and governance. Join a diverse community dedicated to excellence and innovation, where your contributions will help shape the future of education and research. If you are passionate about making an impact through data-driven decision-making, this opportunity is perfect for you.

Qualifications

• Educated to degree level in a numerate discipline or equivalent experience.
• Expert user of Microsoft Excel for managing large data sets.

Responsibilities

• Manage and develop computer-based data models for revenue and resource allocation.
• Liaise with senior staff to provide modelling for decision-making.

Skills

Microsoft Excel

Numerical Analysis

Data Management

Communication Skills

Teamwork

Education

Degree in a Numerate Discipline

Tools

Data Modelling Software

Statistical Analysis Software

Job description

Senior Planning Officer (Resource Allocation)

PACS, University Offices, Wellington Square, Oxford, OX1 2JD

Are you someone who thrives in a role where organisation and efficiency make a real impact? Join our dynamic Resource Allocation team at the University of Oxford and help support world-class research, education, and operations in a globally respected institution.

Location: University Offices, Wellington Square, Oxford, OX1 2JD

Contract: Full Time, Permanent

About Us

Spanning the historic streets of the “city of dreaming spires,” the University of Oxford has been ranked the world’s leading university for nine consecutive years. A place where centuries of tradition meet world-changing innovation, we offer you the chance to shape the future while working in an inspiring environment that promotes excellence. Here, you’ll contribute to ground-breaking research that tackles global challenges - from advancing sustainability to pioneering healthcare solutions - and join a diverse, inclusive community that champions your wellbeing, development, and aspirations. Apply now to become part of our extraordinary legacy.

Sitting at the heart of the University, the Planning and Council Secretariat (PACS) team is responsible for supporting the University’s governance and planning processes, operating its resource allocation and internal charging mechanisms, and driving forward its business intelligence and data governance initiatives.

About the Role

As Senior Planning Officer (Resource Allocation), you will take responsibility for the management and further development of computer-based data models to analyse the collegiate University’s revenue flows and resource allocations.

A key part of the role will be to liaise with senior staff to provide modelling required by decision-makers and to develop, refine, and analyse different data sets as required to support evolving strategic planning activities across the collegiate University. You will need to develop an in-depth knowledge and understanding of a range of specialised and technical areas related to the Section’s work.

You will also oversee the aspects of the section’s work in providing data to support the University’s key decision-making committees, as well as working on statutory returns to public authorities.

About You

You will:

1. be educated to degree level in a numerate discipline, or have equivalent experience;
2. be an expert user of Microsoft Excel and able to use it to manage large data sets;
3. be able to demonstrate strong numerical analysis skills;
4. have expertise across a range of other software and be able to demonstrate ability to master new technologies;
5. be able to rapidly acquire detailed knowledge about complex processes so that you can confidently talk to colleagues around the university as an expert guide;
6. be able to analyse written and numerical information and draw inferences from the material supported by argument and evidence;
7. be able to demonstrate good written communication skills including the ability to present and explain complex information about data processes and outcomes;
8. be a good communicator and team-worker who can manage their own workload and meet deadlines.

Sponsorship and Right To Work

This role meets the criteria for sponsorship under the Skilled Worker visa. The University will meet the cost of the Skilled Worker visa and NHS surcharge for applicants that require a visa.

Please let us know in your application if you require sponsorship.

Application Process

To apply, please upload:

1. The details of two referees;

The closing date for applications is 12 noon on 22 April 2025.

Interviews will take place on Wednesday 7 May, and will be held face-to-face.

Click on the link(s) below to view documents.