At a Glance
- Tasks: Enter and manage data accurately during a system transition.
- Company: Professional services organisation in London with a dynamic work environment.
- Benefits: Competitive daily rate, full-time hours, and valuable experience in data management.
- Other info: Immediate start available; great opportunity for career growth.
- Why this job: Be part of a significant systems change project and enhance your data skills.
- Qualifications: Experience with PSA systems and strong attention to detail required.
The predicted salary is between 28350 - 34650 £ per year.
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 and source documentation.
- Compile, sort and verify information before entering it into systems.
- Monitor a shared mailbox, responding to queries or escalating where required.
- Respond to data-related queries from internal departments and stakeholders.
- Work closely with Project Managers to obtain missing or incomplete project information.
- Ensure all data-entry and project deadlines are met accurately and efficiently.
- Support the wider team throughout the transition from the existing PSA system to the new platform.
Systems & Technology
You will work with a range of systems, including:
- Kantata – Professional Services Automation (PSA) platform
- Salesforce
- Xero
- Microsoft Excel
- Microsoft Word
- Microsoft Outlook
- Microsoft Teams
About You
We are particularly interested in candidates who have specific experience working with PSA systems and databases.
Essential Experience:
- Proven experience as a Data Entry Operator, Data Administrator or in a similar data-focused role.
- Hands-on experience using PSA systems/databases, such as Kantata, Salesforce, FinancialForce, OpenAir, Scoro, BigTime, Rocketlane or Polaris.
- Experience working with large volumes of data and maintaining high levels of accuracy.
- Strong Microsoft Office skills, particularly Excel and Word.
- Excellent attention to detail and a methodical approach to work.
- Strong organisational and time-management skills.
- Excellent written and verbal communication skills.
- The ability to work independently while also collaborating effectively with colleagues.
- Experience working within Professional Services, such as consultancy, banking, law or accounting, would be highly desirable.
- A strong command of written and spoken English.
Why Apply?
This is a fantastic opportunity for an experienced data professional to join a business at an important stage of PSA system transition and data migration. You will gain exposure to a significant systems change project while working with a range of stakeholders across different locations and time zones.
Please note: Due to the September start date, we are only considering candidates who are immediately available or have a notice period of two weeks or less.
Data Entry Clerk employer: Public Sector
As a leading player in the Public Sector, we pride ourselves on being an excellent employer that values innovation and collaboration. Our fully remote work culture allows for flexibility while fostering a supportive environment for professional growth, with opportunities to make a significant impact during our crucial growth phase. Join us and be part of a team that is dedicated to transforming talent strategy and driving organisational development across Europe.
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 Public Sector!
✨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 Public Sector.
✨Leverage Professional Networks
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 Public Sector.
✨Apply Directly through Our Website
When you find a suitable opening like Data Entry Clerk at Public Sector, 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 Public Sector, 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 Public Sector. 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 Public Sector
✨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 Public Sector!
✨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.
