At a Glance
- Tasks: Analyse data to drive impactful decisions and improve programme performance.
- Company: Join the Tottenham Hotspur Foundation, a leader in community engagement.
- Benefits: Gain valuable experience, work in a dynamic environment, and contribute to meaningful projects.
- Other info: Collaborative team atmosphere with opportunities for personal and professional growth.
- Why this job: Make a real difference by turning data into actionable insights for the community.
- Qualifications: Experience with data visualisation tools and strong communication skills required.
The predicted salary is between 37000 - 44962 £ per year.
Tottenham Hotspur Foundation is seeking an Insight & Impact Analyst to drive data-informed decision making.
You will work closely with the Insight & Impact Manager and delivery teams to track KPIs, build dashboards in Power BI/Tableau, and translate data into actionable insights to improve programme performance and external reporting.
The role requires experience with data visualization tools, Salesforce, and strong communication skills.
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Impact & Data Insights Analyst in London employer: Tottenham Hotspur Foundation
Tottenham Hotspur Foundation is an exceptional employer that fosters a collaborative and innovative work culture, where your contributions directly impact the community. With a strong emphasis on employee growth, you will have access to professional development opportunities and the chance to work in a dynamic environment that values data-driven decision making. Located in the heart of North London, you will enjoy the vibrant atmosphere and the unique advantage of being part of a prestigious football club dedicated to making a difference.
Contact Details:
Tottenham Hotspur Foundation Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Impact & Data Insights Analyst in London
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We think you need these skills to ace Impact & Data Insights Analyst in London
Some tips for your application 🫡
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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.
