At a Glance
- Tasks: Manage data, handle supplier queries, and support project reporting.
- Company: Central Oxford consultancy with a focus on collaboration.
- Benefits: Weekly PAYE pay, flexible hours, and valuable experience.
- Other info: Temporary role with potential for future opportunities.
- Why this job: Gain hands-on experience in data management and stakeholder communication.
- Qualifications: Attention to detail and strong communication skills required.
The predicted salary is between 22950 - 28050 £ per year.
Allen Associates is supporting a central Oxford consultancy in recruiting a Temporary Data Project Administrator on a full-time, weekly PAYE basis for a few months.
The role focuses on data management, supplier queries, and stakeholder reporting, based in Central Oxford.
You will manage a shared inbox, review data submissions for accuracy, and support project reporting under the Programme Manager, with emphasis on communication and attention to detail.
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Data Project Administrator - Reporting & Liaison in Oxford employer: Allen Associates
As a Global Training Coordinator, you will thrive in a dynamic and supportive work environment that prioritises employee growth and development. With a strong focus on collaboration and innovation, our company offers generous benefits including 25 days of annual leave, a discretionary bonus scheme, and opportunities for professional advancement. Located in a vibrant area, we foster a culture of inclusivity and engagement, ensuring that every team member feels valued and empowered to contribute to our global learning initiatives.
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We think this is how you could land Data Project Administrator - Reporting & Liaison in Oxford
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We think you need these skills to ace Data Project Administrator - Reporting & Liaison in Oxford
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!
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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.
