Insight & Reporting Lead — Planning Division

Insight & Reporting Lead — Planning Division

Full-Time 45000 - 55000 £ / year (est.) Hybrid
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At a Glance

  • Tasks: Lead a team to create impactful Power BI reports and insights for strategic decisions.
  • Company: Join the prestigious London School of Economics and Political Science (LSE).
  • Benefits: Enjoy hybrid working, professional development, and a supportive work environment.
  • Other info: Be part of a dynamic team with opportunities for career advancement.
  • Why this job: Make a difference by translating data into actionable insights that drive strategy.
  • Qualifications: Experience in reporting, data visualisation, and team leadership required.

The predicted salary is between 45000 - 55000 £ per year.

London School of Economics and Political Science (LSE) is seeking a Senior Planning Officer (Reporting and Insight Lead) in London.

You will lead a small team, manage projects, and deliver robust Power BI reports and apps to support strategic decisions.

The role requires translating business requirements into insightful visuals, establishing governance around reports, and driving end-to-end ETL processes to ensure reliable datasets.

Hybrid working and professional development are offered.

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Insight & Reporting Lead — Planning Division employer: lse

The London School of Economics and Political Science (LSE) is an exceptional employer, offering a dynamic work environment at the heart of one of the world's leading social sciences universities. With a commitment to governance excellence and ethical standards, LSE fosters a culture of collaboration and innovation, providing ample opportunities for professional growth and development. Employees benefit from being part of a prestigious institution that influences global policy, alongside a supportive leadership team dedicated to empowering staff in their roles.

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Contact Details:

lse Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Insight & Reporting Lead — Planning Division

✨Get to Grips with Data Visualisation Tools

If you're aiming for a full-time role in business intelligence, brush up on your skills with popular data visualisation tools like Tableau or Power BI. Showcasing projects where you've transformed raw data into clear visual insights can give you a real edge.

✨Join Local Business Intelligence Meetups

Look for local business intelligence meetups or analytics conferences in your area. These events are not just great for learning but also for networking with industry professionals who could lead you to opportunities at companies like lse!

✨Engage with Online BI Communities

Join online forums or communities focused on business intelligence—think LinkedIn groups, Reddit threads, or even dedicated Slack channels. Engage actively by sharing your insights and asking questions; this can help you build visibility and connect with potential employers.

✨Leverage Your University’s Career Support

If you're a recent graduate, definitely tap into your university's career services. Many have connections with companies in need of full-time BI specialists, and they can guide you on how to pitch yourself effectively—don't miss out on that!

We think you need these skills to ace Insight & Reporting Lead — Planning Division

Leadership Skills
Project Management
Power BI
Data Visualisation
ETL Processes
Governance Establishment
Business Requirements Translation

Some tips for your application 🫡

Highlight Your Analytical Skills:In the business intelligence field, showcasing your analytical skills is a must. Make sure your CV includes relevant experience with data analysis tools, programming languages like SQL or Python, and any projects where you've interpreted complex data sets to drive business decisions.

Showcase Your Business Acumen:Don't just focus on data; show us how you can apply your insights to real-world business problems. Highlight projects where you made a tangible impact on company performance, and be prepared to explain your thought process in your cover letter.

Tailor Your Documents for Us:When applying for a full-time role at lse, tailor your CV and cover letter to reflect our organisational goals and strategies. Mention specific tools and methodologies that align with what we do—this shows you’ve done your homework and are genuinely interested in our mission!

Include Relevant Certifications:Certifications like Google Data Analytics or similar qualifications can really make you stand out in business intelligence. Include these in your application, as they demonstrate your commitment to the field and your willingness to stay current with industry standards.

How to prepare for a job interview at lse

✨Show off your analytical skills

In a business intelligence role, you're going to need to demonstrate your analytical prowess. Be prepared to discuss specific tools you've used, like SQL, Tableau, or Power BI. Have real-world examples ready where you’ve turned data into actionable insights – this is what makes us shine in interviews!

✨Practice your technical know-how

Expect some technical questions during the interview that dive deep into your understanding of data modelling and analytics frameworks. Brush up on your knowledge of data warehousing concepts and be ready to tackle any real case scenarios they might present. They’ll want to see how you approach problems using your BI toolkit.

✨Portfolio of Projects

Since it's a full-time role, having a strong portfolio is key! Compile case studies demonstrating your previous projects, preferably showing how your insights led to business improvements. This can help us display how you think through complex datasets and your problem-solving process, which is what employers are keen on seeing.

✨Know their business model

Get familiar with lse’s business model and recent data-driven decisions. Be prepared to discuss how your skills can specifically support their objectives or challenges. Understanding their landscape shows that you’re not just a data buff, but you’re also genuinely interested in how BI can impact their bottom line.