At a Glance
- Tasks: Accurately enter and manage data for a professional services organisation.
- Company: Join a dynamic team in a professional services environment.
- Benefits: Competitive daily rate, flexible working pattern, and valuable experience.
- Other info: Great opportunity for career growth in a supportive environment.
- Why this job: Be part of a crucial transition and enhance your data management skills.
- Qualifications: Experience with PSA systems and strong attention to detail required.
The predicted salary is between 29250 - 31200 £ per year.
Location: London – near Russell Square
Working Pattern: Full-time, 5 days per week, with 1–3 days in the office
Contract: 6 months – September 2026 to February 2027
Start Date: 1 September 2026
Rate: £150–£160 per day via umbrella company
The Opportunity
We are looking for a detail-oriented and reliable Data Entry Operator to join a professional services organisation on an initial six-month contract. This is an exciting opportunity to support the business during the transition from its existing Professional Services Automation (PSA) system to a new platform. You will play a key role in ensuring large volumes of project and operational data are accurately entered, maintained, checked and prepared for migration. The successful candidate will have hands-on experience working with PSA systems and databases, alongside excellent attention to detail and the ability to work confidently with large volumes of data.
Key Responsibilities
- Accurately enter data into project management systems and databases.
- Review data regularly, identifying and correcting errors or inconsistencies.
- Maintain the accuracy, integrity and security of all information.
- Monitor and record incoming data.
Data Entry Clerk employer: Goodman Masson
Goodman Masson is an exceptional employer, offering a dynamic work culture that fosters collaboration and innovation. As a Payroll Manager in London, you will benefit from a competitive salary and bonus structure, alongside ample opportunities for professional growth within a thriving restaurant business that values its employees and encourages career advancement through its ongoing expansion.
StudySmarter Expert Advice🤫
We think this is how you could land Data Entry Clerk
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Goodman Masson!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Data Entry Clerk at Goodman Masson.
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Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Goodman Masson.
✨Apply Directly through Our Website
When you find a suitable opening like Data Entry Clerk at Goodman Masson, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace Data Entry Clerk
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 Goodman Masson, 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 Goodman Masson. 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 Goodman Masson
✨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 Goodman Masson!
✨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.
