Data Checking Administrator

Leeds
1 year ago
Applications closed

Related Jobs

View all jobs

Senior Data Scientist

Data Scientist (Masters)

Data Science Expert - AI Content Specialist

Data Science Expert - AI Content Specialist

Data Scientist (Masters)

Data Scientist (Masters)

A leading Leeds-based tech organisation is looking for a candidate who is comfortable around data - checking large volumes of data, mapping data, and leading on suggesting process improvements. This role involves checking large volumes of data throughout your shift, ensuring that large data sets are correct. You must have experience of working with data.

Key Responsibilities:

Manage and analyse large volumes of data to ensure accuracy and functionality across various systems.
Monitor systems to ensure data is behaving as it should. If data isn't performing correctly, investigate and resolve the issue.
Map data, ensuring it's organised and flows correctly across different systems.
Constantly look for ways to improve data processes and identify areas for improvement.
Work with spreadsheets, ensuring data is well-managed and accurate.
Collaborate with your team to ensure smooth and efficient operations.
No direct customer contact, but a vital part of the team ensuring everything runs efficiently behind the scenes.

Shifts & Schedule:

5 shifts a week, including weekends.
3 shifts: 9am - 5pm.
2 late-night shifts per month: until 10pm.
Weekend shifts will start at 7am, 9am, or 1pm for 8-hour shifts.

Ideal Candidate:

Data Science Graduate or someone with experience in a data-related role.
Strong ability to manage large sets of data and work with spreadsheets (Excel, Google Sheets, etc.).
An analytical mindset with the ability to identify issues and solve problems when data isn't behaving as expected.
A keen eye for improvement opportunities within data processes.
Excellent attention to detail and strong organisational skills.Please apply today if you love data and would like to work for a forward thinking employer in Leeds.

Huntress Search Ltd acts as a Recruitment Agency in relation to all Permanent roles and as a Recruitment Business in relation to all Temporary roles.

We practice a diverse and inclusive recruitment process that ensures equal opportunity for all we work with, irrespective of race, sexual orientation, mental or physical disability, age or gender. As an organisation, we encourage applications from all backgrounds and will ensure measures are met when required, to allow a fair process throughout.

PLEASE NOTE: We can only consider applications from candidates who have the right to work in the UK

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

New AI Employers to Watch in 2026: UK and Global Companies Reshaping AI Careers

The artificial intelligence job market in the UK is evolving at an extraordinary pace. With record-breaking investment, government backing, and a surge in enterprise adoption, the landscape of AI employers is shifting rapidly. For candidates exploring opportunities on ArtificialIntelligenceJobs.co.uk, understanding who is hiring next is just as important as understanding what skills are in demand. In this article, we explore the new and emerging AI employers to watch in 2026, focusing on organisations that have recently secured funding, won major contracts, or expanded their UK footprint. From cutting-edge startups to global giants doubling down on Britain, these companies represent the next wave of AI career opportunities.

How Many AI Tools Do You Need to Know to Get an AI Job?

If you are job hunting in AI right now it can feel like you are drowning in tools. Every week there is a new framework, a new “must-learn” platform or a new productivity app that everyone on LinkedIn seems to be using. The result is predictable: job seekers panic-learn a long list of tools without actually getting better at delivering outcomes. Here is the truth most hiring managers will quietly agree with. They do not hire you because you know 27 tools. They hire you because you can solve a problem, communicate trade-offs, ship something reliable and improve it with feedback. Tools matter, but only in service of outcomes. So how many AI tools do you actually need to know? For most AI job seekers: fewer than you think. You need a tight core toolkit plus a role-specific layer. Everything else is optional. This guide breaks it down clearly, gives you a simple framework to choose what to learn and shows you how to present your toolset on your CV, portfolio and interviews.

What Hiring Managers Look for First in AI Job Applications (UK Guide)

Hiring managers do not start by reading your CV line-by-line. They scan for signals. In AI roles especially, they are looking for proof that you can ship, learn fast, communicate clearly & work safely with data and systems. The best applications make those signals obvious in the first 10–20 seconds. This guide breaks down what hiring managers typically look for first in AI applications in the UK market, how to present it on your CV, LinkedIn & portfolio, and the most common reasons strong candidates get overlooked. Use it as a checklist to tighten your application before you click apply.