Strategic Planner - Data Analysis

This is an exciting opportunity to join a team providing strategic insight and analytics at Lancaster University, with this role directly supporting the successful delivery of the institution's research priorities.
The opportunity:
We are seeking an individual for the role of Strategic Planner - Data Analysis (REF) to join our dynamic Business Intelligence team. You will
o Provide data modelling, analysis and insight to support the university's Research Excellence Framework (REF) submission.
o Play a key role in shaping and delivering the University's Business Intelligence (BI) programme, developing and maintaining critical dashboards and reports.
o Develop user focussed, meaningfully benchmarked insights and evidence-based recommendations.

Expertise in BI, and well-developed analytical and reporting skills are essential. You will be familiar with the process of developing and deploying user-focused and innovative analytics solutions, including data transformation and visualisation. You will have experience of providing accurate and timely management information. Experience with higher education data and datasets is not essential but would be advantageous. Time and support will be provided for training the appointee on REF2029 requirements and therefore prior knowledge, although desirable, is not required.
You will be proactive and driven, with experience working in an analytical role, passionate about data, interactive dashboards and visualisations. Specifically, proficiency in software such as Tableau (our current tool) or similar BI tools is essential, while working knowledge of Alteryx (or other tools for ETL) would be desirable. We are also looking for excellent interpersonal and communication skills and the ability to form effective relationships with a range of colleagues as well as with external contacts.
You will have experience working both independently and contributing effectively to a team. The role requires excellent communication skills with demonstrable experience in liaising with colleagues at different levels and across different professions to understand their data needs.