About this role
Are you an experienced business intelligence, data engineering or analytics professional looking to use your skills to support strategic decision-making? Do you enjoy transforming complex data into high-quality reporting, predictive insights and evidence-based recommendations that support strategic decision-making across the University?
About the role
This is an exciting opportunity for a business intelligence professional to make an impact within the Strategy, Planning and Analytics Service at the University of Plymouth. The Strategy, Planning and Analytics Service supports strategy development and delivery by managing strategic projects, delivering the planning process and providing data and insights to customers across the University.
As a Senior Business Intelligence Officer, you will play an important role in developing the University's data and analytics capability, helping to ensure that decision-makers have access to trusted, high-quality information that supports planning, performance monitoring and strategic priorities.
Key responsibilities will include:
Supporting the development and enhancement of the University's data lake and wider data infrastructure in line with the University Data Strategy. Developing, maintaining and improving forecasting models and dashboards used to predict student application numbers and support recruitment planning. Designing and delivering high-quality reporting, analytics and self-service business intelligence solutions for a wide range of stakeholders. Working collaboratively with colleagues to improve the accessibility, quality and effective use of institutional data.
For this role, you will need to be on site 3 days a week. Although we can accommodate working from home for this role, flexibility to be on-site will be expected due to business needs.
For an informal discussion to find out more about the role then please contact:
Nicola Beeching; by email at [email protected]
What we’re looking for
You will:
Be an experienced business intelligence professional with a strong understanding of data management, analytics and reporting Be confident working with complex datasets and translating technical information into meaningful insight for a range of audiences Have experience of working with a range of Higher Education datasets and performance measures will enable you to provide high-quality analysis and support evidence-based decision-making across the University.
You will be able to demonstrate:
Experience of developing and managing business intelligence, reporting or analytics solutions. Strong data engineering and data management skills, including experience of data warehousing or data lake environments. Experience of developing forecasts, predictive models, dashboards and reports to support operational or strategic decision-making. A commitment to continuous improvement and delivering high-quality, customer-focused services.
For more information about the job and the person specification, please refer to the job description.
Application Process
Please apply online, demonstrating how you meet the essential criteria outlined in the knowledge, qualifications, training, skills and experience elements of the job description in your supporting statement.
Closing date: 12 midnight, Sunday 27 September 2026
Our Offer
We have a wide range of staff benefits available to employees, depending on eligibility:
Generous annual leave: 35 Days Annual Leave plus Bank Holidays & Closure Days Generous pension scheme Cycle to Work & Electric Car Scheme Employee Assistance Programme Development opportunities Enhanced family leave Flexible working Retailer discounts On-site nursery
A summary of our comprehensive benefits can be viewed here.