At a Glance
- Tasks: Manage and maintain fundraising and stakeholder data for a leading London university.
- Company: Join a prestigious university with a commitment to impact and innovation.
- Benefits: Earn £16.99 per hour, enjoy hybrid work, and gain valuable experience.
- Other info: Collaborative team culture with opportunities for personal and professional growth.
- Why this job: Make a difference by ensuring data integrity in a dynamic educational environment.
- Qualifications: Experience in data management, strong IT skills, and excellent communication abilities.
The predicted salary is between 16.99 - 16.99 £ per hour.
Location: Central London, hybrid (2 days per week in office)
Hours: Full-time, 35 hours per week
Contract: Temporary, 4 months
Pay: £16.99 per hour (+ holiday pay) (circa £31,100 salaried equivalent)
Start Date: ASAP
Prospectus is delighted to be supporting a leading London university in the search for a temporary Data Coordinator to join their team. This is an excellent opportunity for an experienced data professional to utilise and refine their skills in an impactful organisation. The successful candidate will be responsible for supporting the management, maintenance, and integrity of fundraising and stakeholder data, ensuring accurate and reliable information is available to support the organisation's strategic objectives.
Responsibilities:
- Maintain and update constituent and fundraising records.
- Ensure data quality, accuracy, and consistency across systems.
- Process data imports, exports, and routine record updates.
- Support fundraising, alumni, and stakeholder engagement activities through accurate data management.
- Assist with the production of reports, lists, and data insights.
- Support compliance with data protection and data governance requirements.
- Investigate and resolve data discrepancies and queries.
- Work collaboratively with colleagues across the Advancement team to support operational objectives.
Requirements:
- Recent, relevant experience in a similar role, ideally within the higher education or wider not-for-profit sector.
- Strong IT skills, including confidence with reporting tools, spreadsheets, and databases.
- Excellent organisational skills with the ability to manage multiple priorities and deadlines effectively whilst maintaining a high level of accuracy and attention to detail.
- Strong communication and interpersonal skills, with the confidence to build strong relationships with stakeholders.
- A collaborative and proactive approach to managing a varied workload, with the capacity to work both independently and as part of a team.
At Prospectus, we are committed to supporting you throughout your application journey. We welcome applicants from all backgrounds and do not discriminate based on age, gender, disability, race, religion, sexual orientation, marital status, or pregnancy/maternity.
Data Coordinator employer: Prospectus
Our Client is an exceptional employer, offering a dynamic and inclusive work culture that prioritises innovation and collaboration in the humanitarian sector. With a strong commitment to employee growth, the organisation provides ample opportunities for professional development and leadership within a supportive team environment. Located in London, the role of Partnerships Manager not only allows you to make a meaningful impact on global crisis response but also offers the flexibility of a hybrid working model, ensuring a healthy work-life balance.
StudySmarter Expert Advice🤫
We think this is how you could land Data Coordinator
✨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 Prospectus!
✨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 Coordinator at Prospectus.
✨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 Prospectus.
✨Apply Directly through Our Website
When you find a suitable opening like Data Coordinator at Prospectus, 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 Coordinator
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 Prospectus, 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 Prospectus. 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 Prospectus
✨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 Prospectus!
✨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.
