At a Glance
- Tasks: Input and manage data accurately across multiple systems while ensuring quality checks.
- Company: Join a dynamic team in Kidlington, Oxfordshire, focused on data integrity.
- Benefits: Earn £210 per day with flexible holiday pay and a supportive work environment.
- Other info: Opportunity for contract extension and potential permanent placement.
- Why this job: Perfect for detail-oriented individuals who love working with data and systems.
- Qualifications: Experience in data entry, validation, and strong organisational skills required.
The predicted salary is between 43680 - 48120 £ per year.
Pay Rate: £210.00 per day PAYE, with flexible holiday pay
Hours: 37 hours per week
Length of Contract: 7-8 months
Location: Kidlington, Oxfordshire
Working Arrangements: Fully Office based
An excellent opportunity has arisen for a Data Entry Administrator / Officer to join a busy team, supporting the accurate input, validation and management of data across multiple systems.
This role would suit someone who is highly organised, methodical and confident working with large volumes of information, with a strong focus on accuracy and data quality.
Key Responsibilities
- Accurately enter and update data across relevant systems and databases.
- Validate information and carry out quality checks to identify missing, duplicate or incorrect data.
- Ensure data is complete, accurate and entered within required timescales.
- Navigate confidently across multiple systems and applications.
- Support data migration activities, including checking how data fields map between different systems.
- Investigate and resolve data discrepancies where required.
- Maintain a high level of attention to detail when handling information.
- Follow established processes and procedures to ensure consistency and data integrity.
- Accurate data entry with a consistently high level of attention to detail.
- Experience of data validation and quality checking, including identifying missing, duplicate or incorrect information.
- Fast and accurate typing skills, with the ability to process information efficiently without compromising accuracy.
- Confidence navigating and working across multiple systems and applications.
- Experience or understanding of data migration, including how data fields map from one system to another.
- Strong organisational skills and the ability to manage workloads effectively.
- A methodical approach to work and a commitment to maintaining high-quality data.
This is a great opportunity for an experienced administrator or data professional who enjoys working with information, systems and processes and takes pride in getting the detail right.
Data Entry Administrator in Kidlington employer: Allscreens Nationwide Ltd
Allscreens Nationwide is an exceptional employer, offering a supportive team culture where employees are valued and encouraged to thrive. With access to state-of-the-art training facilities and opportunities for career progression, our Automotive Glazing Technicians in Birmingham can expect not only competitive bonuses but also the chance to work with the latest technology in the industry. Join us and be part of a company that prioritises both employee well-being and customer satisfaction.
StudySmarter Expert Advice🤫
We think this is how you could land Data Entry Administrator in Kidlington
✨Get Involved in Data Science Meetups
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We think you need these skills to ace Data Entry Administrator in Kidlington
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Allscreens Nationwide Ltd, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Allscreens Nationwide Ltd. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Allscreens Nationwide Ltd
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Allscreens Nationwide Ltd!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
