At a Glance
- Tasks: Transform complex data into clear insights to support decision-making and improve learner outcomes.
- Company: Runshaw College, a top-performing college with a supportive culture.
- Benefits: Competitive salary, £2,570 p.a. pension contributions, and strong focus on staff development.
- Other info: Fixed term for 2 years with excellent career growth opportunities.
- Why this job: Join a dynamic team and make a real impact on education through data analysis.
- Qualifications: Strong SQL skills and experience with reporting tools like SSRS and Power BI.
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.
Fixed term for 2 years. Closing date for this post is 12 noon, Thursday 19th November 2026.
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.
Data Analyst in Leyland employer: Runshaw
Essential Industrial Services Ltd is an excellent employer for aspiring finance professionals, offering a structured apprenticeship that combines hands-on experience with essential accounting skills. Located in Leyland, the company fosters a supportive work culture where employees can thrive, benefit from mentorship, and enjoy opportunities for growth within the finance sector. With a commitment to professional development and a routine work schedule, this role is perfect for those seeking meaningful and rewarding employment in a dynamic environment.
StudySmarter Expert Advice🤫
We think this is how you could land Data Analyst in Leyland
✨Tap into Online Data Science Communities
Join online communities focused on data science like Kaggle, LinkedIn groups, or Reddit threads. These are goldmines for temporary gigs, as you can network with professionals and potentially hear about opportunities at companies like Runshaw before they're even advertised!
✨Show Off Your Skills With Projects
Got some cool data science projects? Showcase them on platforms like GitHub or create a personal portfolio website. This visibility is crucial for landing temporary roles—let recruiters see your actual skills in action, which can set you apart from the crowd.
✨Check Out Specialist Job Boards
For temp roles, hit up job boards dedicated to tech and data science, like Stack Overflow Jobs or DataJobs. These platforms often feature openings that you won’t find on general job sites, including contracts with companies like Runshaw.
✨Leverage University Resources
If you're currently at uni or recently graduated, tap into your school's career services. They often have connections with companies looking for temporary data science interns or contract workers, and they might even host job fairs with employers like Runshaw.
We think you need these skills to ace Data Analyst in Leyland
Some tips for your application 🫡
Highlight Your Data Projects:When applying for a temporary data science role at Runshaw, make sure to showcase any relevant projects you've worked on. Whether it's a personal project, an academic undertaking, or contributions to an open-source initiative, detailing these experiences can really set you apart and demonstrate your practical skills.
Emphasise Your Analytical Skills:In your CV and cover letter, focus on the specific analytical skills that are key to data science. Mention any experience with statistical tools, programming languages like Python or R, and data visualisation software. Don't forget to include any certifications that may bolster your expertise!
Show Your Flexibility:Since this is a temporary role, it's important to convey your adaptability and willingness to learn. In your cover letter to Runshaw, emphasise how quickly you can get up to speed with new tools or projects. Highlight any previous experiences where you've had to adjust to new environments or challenges.
Craft a Unique Data-Driven Cover Letter:Instead of the usual generic cover letter, spice it up with some data! Maybe you’ve improved a process by 20% in a past role or cleaned a dataset with over a million entries. Use these stats to your advantage to grab Runshaw’s attention and show the tangible impact of your work.
How to prepare for a job interview at Runshaw
✨Showcase Your Analytical Skills
For a data science gig, it's crucial to demonstrate your analytical abilities. Be ready to discuss previous projects and the methodologies you used. Think about how you can quantify your impact—did your analysis improve efficiency or save costs? These are the stories that will stick with interviewers at Runshaw.
✨Brush Up on Technical Skills
You might face technical questions on tools relevant to data science, like Python, R, or SQL. Prepare to solve a problem live—perhaps they'll ask you to write a simple query or code snippet. It’s cool to talk about them, but we need to show we can do it in practice, especially in a temporary role where quick results matter.
✨Highlight Your Adaptability
Since this is a temporary position, emphasise your ability to learn quickly and adapt to new tools or workflows. Share examples of how you've thrived in fast-paced environments before, and how you can hit the ground running at Runshaw.
✨Prepare a Portfolio of Your Work
Bring your portfolio to the table—showcase projects where you've leveraged data science techniques to solve problems. Whether it’s a GitHub repository or a set of case studies, having tangible examples of your work will help you stand out and show what you bring to the team at Runshaw.
