At a Glance
- Tasks: Analyse data to enhance student services and improve engagement using Power BI.
- Company: Join Manchester Metropolitan University, a vibrant hub for student success.
- Benefits: Gain valuable experience, develop analytical skills, and enjoy a supportive work environment.
- Other info: Collaborative team atmosphere with opportunities for personal and professional growth.
- Why this job: Make a real difference in student wellbeing while honing your data analysis skills.
- Qualifications: Strong analytical skills and effective communication; experience with stakeholder management is a plus.
The predicted salary is between 30000 - 40000 £ per year.
The Manchester Metropolitan University is seeking a Data Insight Officer to enhance student services through insightful data analysis and reporting using Power BI. This two-year fixed-term position requires excellent analytical skills and the ability to communicate findings effectively. You will contribute to a range of projects aimed at improving student engagement and wellbeing across the University. A collaborative approach and experience in stakeholder management are essential.
Student Services Data Insight Specialist in Manchester employer: The Manchester Metropolitan University
Manchester Metropolitan University is an exceptional employer, offering a vibrant work culture that prioritises collaboration and innovation. With a strong commitment to employee development, you will have access to numerous growth opportunities while contributing to meaningful projects that enhance student engagement and wellbeing. Located in the heart of Manchester, the university provides a dynamic environment where your analytical skills can truly make a difference.
Contact Details:
The Manchester Metropolitan University Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Student Services Data Insight Specialist in Manchester
✨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 The Manchester Metropolitan University 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 The Manchester Metropolitan University.
✨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 The Manchester Metropolitan University.
We think you need these skills to ace Student Services Data Insight Specialist in Manchester
Some tips for your application 🫡
Highlight Your Data Projects:When applying for a temporary data science role at The Manchester Metropolitan University, 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 The Manchester Metropolitan University, 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 The Manchester Metropolitan University’s attention and show the tangible impact of your work.
How to prepare for a job interview at The Manchester Metropolitan University
✨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 The Manchester Metropolitan University.
✨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 The Manchester Metropolitan University.
✨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 The Manchester Metropolitan University.
