At a Glance
- Tasks: Reconcile and cleanse data across multiple systems while ensuring accuracy.
- Company: Fast-growing organisation in the commercial services sector with a commitment to quality.
- Benefits: Earn £16-£17 per hour, enjoy hybrid working, and receive full training.
- Other info: Flexible working arrangements with potential for contract extension.
- Why this job: Gain valuable experience in data management and improve your skills in a supportive team.
- Qualifications: Strong organisational skills and a detail-focused approach to data.
The predicted salary is between 17 - 17 £ per hour.
Our client is a well-established, fast-growing organisation within the commercial services sector, supporting a wide portfolio of clients across the UK. Known for their operational excellence and commitment to quality, they are continually investing in improving systems, processes, and data accuracy to support business performance.
Key Responsibilities
- Reconcile and match data across multiple systems using unique identifiers
- Carry out data cleansing activities within the Client, Site & Contract Management System
- Analyse and interpret data from different sources to ensure accuracy and consistency
- Identify discrepancies and resolve data issues in a timely manner
- Collaborate with operational teams to verify and validate information
- Maintain high standards of data quality, accuracy, and integrity
- Support ongoing improvements to data processes and systems
The Successful Applicant Ideal Candidate
- Strong administrative background with excellent organisational skills
- Highly methodical, accurate, and detail-focused
- Comfortable working with data across multiple systems
- Ability to analyse, interpret, and reconcile data effectively
- Strong communication skills and ability to collaborate with different teams
- Experience working with operational systems or databases (desirable)
- Understanding of the importance of data accuracy and governance
- Proactive, reliable, and able to manage workload independently
Full training and ongoing support will be provided, making this a great opportunity to develop data experience.
What's on Offer
- £16-£17 per hour, (depending on experience)
- Hybrid working arrangement - (very flexible)
- 3-month contract with high potential for extension
- Opportunity to gain valuable experience in data management and systems improvement
- Supportive and collaborative team environment
Data Administrator (3 Month Contract) in Reading employer: Page Personnel
As a Tax Manager at our retail organisation, you will thrive in a dynamic work culture that values collaboration and innovation. We offer competitive daily rates, comprehensive benefits, and ample opportunities for professional growth, all within a vibrant location that fosters both personal and career development. Join us to make a meaningful impact while enjoying a supportive environment that prioritises your success.
StudySmarter Expert Advice🤫
We think this is how you could land Data Administrator (3 Month Contract) in Reading
✨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 Page Personnel 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 Page Personnel.
✨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 Page Personnel.
We think you need these skills to ace Data Administrator (3 Month Contract) in Reading
Some tips for your application 🫡
Highlight Your Data Projects:When applying for a temporary data science role at Page Personnel, 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 Page Personnel, 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 Page Personnel’s attention and show the tangible impact of your work.
How to prepare for a job interview at Page Personnel
✨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 Page Personnel.
✨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 Page Personnel.
✨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 Page Personnel.
