At a Glance
- Tasks: Support data remediation by reviewing records and identifying duplicates.
- Company: Independent regulatory body ensuring market integrity in the UK.
- Benefits: Competitive pay, flexible work location, and valuable experience.
- Other info: Great opportunity for career growth in a supportive environment.
- Why this job: Make a real impact on data quality while gaining essential skills.
- Qualifications: Strong Excel skills and attention to detail required.
The predicted salary is between 20 - 24 £ per hour.
Duration: 5 months
Pay: £20-24 per hour (PAYE)
Location: 2 days per week in our Stratford, London office. In September 2026, they move to 50% in office across the month.
Interviews to be held after July 29th.
About the organisation
Our client is an independent regulatory body in the UK responsible for ensuring the financial markets work well for the consumers and the economy, promoting market integrity and effective competition.
About the role
We are seeking temporary resource to support a structured data remediation exercise. The role will focus on reviewing records, identifying duplicates and proposing “master records”, mapping linked records and preparing mapping decisions, compiling upload sheets and documenting evidence-based recommendations for later system update by the permanent team.
Responsibilities:
- Reviewing and remediating records in line with agreed priorities
- Identifying, validating or documenting relationships, duplicates, master records or other record attributes
- Preparing, checking or maintaining mapping outputs, upload templates, logs or supporting analysis
- Providing wider support to associated data, evidence-gathering, quality assurance or remediation work as required
What we’re looking for:
A disclosure paralegal or trainee accountant would suit this position well.
Minimum:
- Strong Excel capability, including filtering, sorting, reconciliation, exception logging and maintenance of structured upload sheets
- Experience maintaining a clear audit trail of decisions, exceptions and unresolved items
- Ability to follow written rules precisely and escalate ambiguous cases rather than guess
- Track record of exercising judgement within areas of delegated authority
- Strong written communication and a careful, evidence-based working style
Essential:
- Experience using external reference sources (such as Google, GLEIF) to validate organisation details and hierarchies
- Experience in data remediation, data cleansing, master data review, migration support or similar record-by-record review work
- Previous work in legal, finance, compliance, records management or other highly detail-oriented environments
- Experience with duplicate detection, master-record selection and mapping output preparation
Desirable:
- Ability to compare records across multiple sources and identify likely matches, duplicates, or relationships
- Experience or knowledge of the UK or major international securities regulatory regime is helpful but not essential
Disability Confident: our hiring approach
We’re proud to be a Disability Confident Employer, and therefore, people or individuals with disabilities and long-term conditions who best meet the minimum criteria for a role will go through to the next stage of the recruitment process. In cases of high application volumes, we may progress applicants whose experience most closely matches the role’s key requirements.
What are the next steps?
If you are interested in the role, click the apply button and we will get in touch with you to discuss next steps.
Data Administrator in Slough employer: Hays
Join a vibrant secondary school that prioritises excellence in education and fosters a supportive community for both students and staff. As the Head of Mathematics, you will benefit from a competitive salary, ongoing professional development opportunities, and a collaborative work culture that encourages innovation and growth. This role not only allows you to lead a dedicated team but also to make a significant impact on student achievement in a welcoming environment.
StudySmarter Expert Advice🤫
We think this is how you could land Data Administrator in Slough
✨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 Hays 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 Hays.
✨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 Hays.
We think you need these skills to ace Data Administrator in Slough
Some tips for your application 🫡
Highlight Your Data Projects:When applying for a temporary data science role at Hays, 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 Hays, 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 Hays’s attention and show the tangible impact of your work.
How to prepare for a job interview at Hays
✨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 Hays.
✨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 Hays.
✨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 Hays.
