At a Glance
- Tasks: Lead a team to deliver insightful reports and drive data governance.
- Company: King’s College London, a prestigious institution with a focus on philanthropy and alumni engagement.
- Benefits: Hybrid working, competitive salary, and opportunities for professional growth.
- Other info: Join a dynamic team in a supportive environment with excellent career prospects.
- Why this job: Make a real impact by turning data into actionable insights for senior leaders.
- Qualifications: Experience in data reporting and team leadership skills required.
The predicted salary is between 56250 - 68750 £ per year.
King’s College London is seeking a Senior Reporting Manager to lead the Data & Reporting team within Philanthropy & Alumni Engagement.
You will manage a team delivering clear, reliable reports to support informed decision-making and turn data into practical insights for senior leaders.
This is a full-time role (35 hours) with hybrid working and a minimum of 40% in the office.
You will drive SQL governance, collaborate with Microsoft Dynamics CRM, and contribute to planning, performance reviews
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Senior Data & Reporting Lead employer: Kings College London
At King's College London, we pride ourselves on being an exceptional employer that fosters a collaborative and innovative work culture. As a Senior Engineering Education Technician, you will have the opportunity to contribute to a vibrant academic environment while enjoying comprehensive benefits and professional development opportunities that support your growth. Located in the heart of London, our Strand Campus offers a dynamic setting where you can make a meaningful impact on students' educational journeys.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data & Reporting Lead
✨Get Involved in Data Science Meetups
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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 Kings College London.
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We think you need these skills to ace Senior Data & Reporting Lead
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 Kings College London, 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 Kings College London. 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 Kings College London
✨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!
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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 Kings College London!
✨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.
