Data Analyst

DATA ANALYST - REF 261129

Up to £37,249 p.a.

We offer a competitive benefits package, including £2,570 p.a. in employer pension contributions

Runshaw College is one of the most successful colleges in the country, renowned locally and nationally for our outstanding results, friendly and supportive culture and focus on putting the student at the heart of all that we do. 

We value our staff and students highly, and invest heavily in their development, support and wellbeing.  Situated in Leyland, Lancashire, the College is near the M6, M61 and M65 and within commuting distance of Manchester, Liverpool and the Lake District.

Due to the growth of our reporting needs, including the implementation of a new Student Record System and HR System and an expanding suite of curriculum quality dashboards, we now have a vacancy for a Data Analyst within our Management Information team. This is an ideal role for someone who is analytical and curious, and who enjoys turning complex data into clear insight that helps leaders make better decisions and improves outcomes for learners. You will also help colleagues to simplify processes and reduce manual workload. To be successful in this role, you will need strong SQL skills, experience of developing suites of reports using enterprise reporting tools such as SSRS and Power BI, and the confidence to work with colleagues across different areas to design, develop and implement processes and practices that meet our reporting needs.

Closing date for this post is 12 noon, Thursday 19th November 2026

For further information and to apply, please visit  www.runshaw.ac.uk/the-college/jobs. Alternatively, email [email removed] or call [phone removed], quoting the vacancy reference number.

Runshaw College is committed to safeguarding and promoting the health, safety and welfare of children, young people and vulnerable adults and expects all staff and volunteers to share this commitment. We value diversity and welcome applications from all sections of the community, particularly people with protected characteristics.