At a Glance
- Tasks: Cleanse, validate, and standardise data to ensure top-notch quality.
- Company: Join Manchester Met's inclusive and diverse community.
- Benefits: Gain valuable experience in data quality management during a digital transformation.
- Other info: Collaborative team culture with a focus on equality and inclusion.
- Why this job: Make a real impact on student services while developing your skills.
- Qualifications: High digital literacy and proficiency in Microsoft Excel required.
The predicted salary is between 20000 - 25000 £ per year.
The current opportunity is available for current Manchester Met students. To apply you must be based in the UK for the duration of the role. As part of a major transformation programme to modernise the systems that support the student journey, we are recruiting Data Quality Specialists to join our Education Services teams during a period of significant change and activity.
Working with large and complex datasets, you will be responsible for cleansing, validating, and standardising information to ensure the highest standards of data quality. Your contribution will help support the successful delivery of core services while maintaining data accuracy and integrity during a high-volume operational period. This role offers a valuable opportunity to develop expertise in data quality management and information governance, while gaining experience of working within a large and complex university environment undergoing significant digital transformation.
About Us: We will be working as part of the Data, Projects and Reporting Service within the broader remit of Education Services. We are student-centred, and people-led; and we actively champion an inclusive and diverse community. Our team has a positive work culture where collaboration and teamwork are highly valued.
Key Tasks and Responsibilities:
- Data cleansing, validation and standardisation
- Maintaining student records and curriculum systems
- Quality assurance checks
- Supporting business change
This role is only open to current Manchester Met Students.
Qualifications:
Essential:
- High degree of digital literacy
- Experience with high volume accurate data input
- Highly Proficient in Microsoft Excel
- Proactive approach to managing workload to achieve agreed objectives
- Ability to work effectively as part of a team
- A commitment to Equality, Diversity and Inclusion
Desirable:
- Reliable
- Adaptable
- Positive mindset
- Resilient when working to deadlines
Manchester Metropolitan University is committed to supporting the rights, responsibilities, dignity, health and wellbeing of staff and students through our commitment to equity, diversity and inclusion.
Data Quality Specialist in Manchester employer: Manchester Metropolitan University
Manchester Metropolitan University is an excellent employer for current students, offering a dynamic work environment that fosters collaboration and inclusivity. As a Data Quality Specialist, you will gain invaluable experience in data management while contributing to significant digital transformation efforts within a large university setting. With a strong commitment to employee growth and a positive work culture, this role provides a unique opportunity to enhance your skills and make a meaningful impact on the student journey.
Contact Details:
Manchester Metropolitan University Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Data Quality Specialist in Manchester
✨Join Data-Science Meetups
Get yourself along to local data-science meetups or workshops. They're goldmines for networking, and you'll learn from industry pros who might just point you in the direction of internships. Plus, discussing the latest trends with like-minded individuals can really amp up your game.
✨Utilise University Career Services
Check in with your uni's career services since they often have connections with companies looking for interns. They might even organise information sessions with firms, which can be a great chance for you to learn more about potential internships and make some key contacts.
✨Show Off Your Stuff on GitHub
If you're into data science, having a GitHub profile with your projects is essential. Make sure your portfolio is public and showcases your best work! Recruiters love to see your coding skills and problem-solving approach, and it’s a brilliant way to stand out.
✨Apply Directly on Our Website
Don’t forget to check out the internships listed on our site! It's always a good idea to apply directly through our website because it makes your application easier for our team to find, and you might just catch the hiring manager’s eye by showcasing exactly what you're passionate about in data science.
We think you need these skills to ace Data Quality Specialist in Manchester
Some tips for your application 🫡
Show Off Your Technical Skills:For a data science internship, we want to see those analytical skills shine! List your programming languages, like Python or R, and make sure to highlight any relevant projects or courses you've completed. If you've dabbled with tools like Pandas, NumPy, or machine learning algorithms, don’t hold back – include those in your CV!
Share Your Curiosity in Your Cover Letter:As an intern, your motivation and eagerness to learn are key! In your cover letter, talk about specific data science concepts that excite you and how this internship at Manchester Metropolitan University will help you grow. Share what you hope to achieve and how you plan to tackle real-world data problems - we love enthusiasm!
Include Any Relevant Certifications:If you've earned any certifications, such as from Coursera or DataCamp, make sure to include these in your application. They show us that you're proactive and committed to expanding your data science skillset. This could make a real difference in how we assess your application!
Keep It Relevant and Concise:Remember, as an intern, you don’t need to have decades of experience. Focus on showcasing relevant coursework, personal projects, or even related volunteer work in data science. Keep your CV and cover letter concise but impactful – we appreciate clear and straightforward communication!
How to prepare for a job interview at Manchester Metropolitan University
✨Brush Up on Your Coding Skills
As a data science intern, you might get grilled on your programming skills. Expect to tackle some coding challenges using languages like Python or R. We recommend practising basic algorithms or data manipulation tasks so you can show off your tech skills with confidence.
✨Show Off Your Projects
Prepare to discuss any projects you’ve done, whether in your studies or on your own time. Having a strong portfolio of data analyses or machine learning models will really set you apart. We can use platforms like GitHub to showcase your work to impress Manchester Metropolitan University.
✨Know Your Stats and ML Basics
Brush up on your statistics and machine learning concepts because interviewers love to dig into this! Be ready to explain your understanding of algorithms or how you would approach a given data problem. This will highlight your theoretical background alongside your practical skills.
✨Be Eager to Learn and Adapt
Internships are all about potential and growth. Make sure you convey your eagerness to learn and adapt to new tools or methodologies. Show Manchester Metropolitan University that you’re not just looking for experience, but that you're keen to contribute and grow within the team.
