Ace your Interview Data Tasks & Presentation

Have you received any data task recently for a data analyst role, and you're not sure how to begin?

Many entry-level data interviews include real projects: cleaning datasets, building dashboards, SQL/Excel tests, and presenting results to a panel, all under time pressure. I’ve been through 20+ real interview projects, aced 80% of them, and know exactly what works: technical skills + storytelling.

In this session, I’ll guide you step-by-step on:

1. Project Prep: Understand the problem, clarify expectations, and plan your approach efficiently.
2. Data Cleaning & Analysis: Best practices for Excel, Python, and SQL tasks to save time and ensure accuracy.
3. Dashboard & Visuals: How to structure dashboards or reports for clarity and impact.
4. Presentation Prep: Organise your slides/PPT, highlight key insights, and make your story flow logically.
5. Storytelling Techniques: How to showcase your project using the best storytelling techniques.
6. Time Management Tips: Deliver high-quality results even under strict deadlines.
7. Mock Panel Guidance: How to present confidently, answer questions, and handle panel discussions.

💡 By the end of the session, you’ll know exactly how to approach data projects in interviews, structure them professionally, and present them confidently, giving you a major edge in entry-level data roles.

(Note: I won’t complete the project for you; I’ll guide you on approach, structure, and presentation.)