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- Tasks: Ensure data quality for UK university courses and scholarships through checks and collaboration.
- Company: Join a leading data provider in higher education with a global impact.
- Benefits: Fully remote role, flexible hours, and competitive pay at £12.21 p/h.
- Why this job: Make a difference in higher education while developing your skills in a supportive environment.
- Qualifications: Strong Excel skills, attention to detail, and familiarity with the UK higher education system.
- Other info: Embrace diversity and individuality in a dynamic, global team.
Overview
DATA QUALITY ASSISTANT — FULLY REMOTE (21 hours per week) — DURATION: October 2025-June 2026 — SALARY: £12.21 p/h (National Living Wage)
Times Higher Education is the data provider underpinning university excellence in every continent across the world. As the company behind the world’s most influential university ranking, and with almost five decades of experience as a source of analysis and insight on higher education, we have unparalleled expertise on the trends underpinning university performance globally. Our data and benchmarking tools are used by many of the world’s most prestigious universities to help them achieve their strategic goals and our events series act as the home of higher education thought leadership around the world.
THE Consultancy provides strategic, data-driven guidance to universities, governments and corporate entities with an interest in higher education around the world. Building on our vast sector expertise and long history, we support our partners to build effective and sustainable strategies aligned to their unique mission. Understanding that all organisations are unique, we combine proprietary and primary data ‒ including data underpinning THE’s suite of rankings, bibliometric data, and bespoke surveys and other data collection ‒ to design customised solutions to clients’ needs.
About the Role
To support the creation and delivery of quality databases of UK university courses and their tuition fees and entry requirements, alongside a separate database of scholarships and bursaries.
Key tasks include:
- Quality control checks on individual institution files created by data collectors – ensuring the accurate and consistent recording of data in Microsoft Excel, according to the staff guide and training provided.
- Discussing data entries which are unclear/incorrect with the product manager, so that constructive feedback and guidance can be provided to data collectors and a consistent approach to recording the data is maintained.
- Accessing individual university websites to assess whether 2026/27 course tuition fees have been published.
- Accurately recording progress using the appropriate tools/tracking documents.
- Supporting the product manager in the collation of the datasets – this could involve copy pasting data, checks on formatting, completing missing information.
- Additional ad hoc tasks relevant to the role, e.g. checking Mission Group membership, collecting league table rank data.
About you
- Excellent communication skills and confident in raising queries.
- Familiarity with UK higher education system.
- Strong MS Office skills, particularly Excel.
- Able to work effectively autonomously and to follow guidelines/instructions closely
- Detail oriented; ability to check data thoroughly showing good attention to detail and ability to spot errors and inconsistencies.
You do You. With colleagues located around the world, we know that our individuality and diversity of experiences are our greatest strengths. That’s why we want THE to be a place where you are welcome to be who you want to be at work; where you can share whatever part of your life or self-identity you want, without obligation or facing discrimination; and where all abilities and perspectives are recognised and accommodated.
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Data Quality Assistant employer: Times Higher Education
Contact Detail:
Times Higher Education Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Quality Assistant
✨Tip Number 1
Get your networking game on! Reach out to people in the industry, especially those who work at Times Higher Education or similar organisations. A friendly chat can open doors and give you insider info that could help you stand out.
✨Tip Number 2
Prepare for interviews like a pro! Research common questions for data roles and practice your answers. Don’t forget to showcase your attention to detail and communication skills, as these are key for the Data Quality Assistant role.
✨Tip Number 3
Show off your Excel skills! If you get a chance, demonstrate your proficiency with practical examples. Maybe even create a mini-project or analysis to share during your interview – it’ll show you mean business!
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, you’ll be part of a community that values individuality and diversity, which is super important to us at StudySmarter.
We think you need these skills to ace Data Quality Assistant
Some tips for your application 🫡
Tailor Your Application: Make sure to customise your CV and cover letter for the Data Quality Assistant role. Highlight your experience with data management and any relevant skills, especially in Excel, to show us you’re the perfect fit!
Show Off Your Attention to Detail: Since this role is all about quality control, give us examples of how you've successfully spotted errors or inconsistencies in past work. We love candidates who can demonstrate their keen eye for detail!
Communicate Clearly: In your application, let us see your excellent communication skills shine through. Whether it’s explaining a complex data issue or discussing your previous experiences, clarity is key!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates from us!
How to prepare for a job interview at Times Higher Education
✨Know Your Data
Familiarise yourself with the UK higher education system and the specific data-related tasks mentioned in the job description. Brush up on your Excel skills, as you'll likely be asked about your experience with data management during the interview.
✨Prepare for Communication Scenarios
Since excellent communication is key for this role, think of examples where you've effectively raised queries or provided feedback. Be ready to discuss how you handle unclear or incorrect data entries, as this will show your problem-solving skills.
✨Show Attention to Detail
Prepare to demonstrate your attention to detail. You might be given a sample dataset to review during the interview, so practice spotting errors and inconsistencies in data. This will highlight your ability to maintain quality control.
✨Ask Insightful Questions
At the end of the interview, don’t forget to ask questions! Inquire about the team dynamics, the tools they use for data tracking, or how they ensure data accuracy. This shows your genuine interest in the role and helps you assess if it’s the right fit for you.
