Data Analyst

🚀Data Analyst

📍West London (3 days a week on-site)

💸£55,000 – £60,000

About the Company

A leading name in the UK property sector is on the hunt for a mid-level Data Analyst to join their growing data team. With a strong foundation in Business Intelligence and a forward-thinking approach to tech, this company has spent the last five years investing heavily in their data infrastructure and are now gearing up to take things even further — including AI implementation over the next 6–12 months. 🚀

They're working on internal data projects with real commercial impact and are looking for someone who can not only crunch the numbers, but also tell the story behind them.

The Role

You’ll take the lead on key analytics initiatives, working end-to-end across data pipelines, visualisation, and stakeholder communication. It’s a hands-on role with plenty of variety — perfect for someone who enjoys making sense of messy data and translating that into insight that drives decisions.

You'll also play a key part in their early AI-driven projects, focused on improving sales processes and customer interactions through transcript analysis and intelligent feedback tools.

What You’ll Be Doing

• 📈 Lead dashboard development using Power BI, delivering enterprise-grade reports that drive business insight
• 🔍 End-to-end data analysis, from extraction and transformation to insight using SQL and Python
• 🗣️ Present findings to stakeholders across all levels, breaking down complex analysis into clear, commercial terms
• 👥 Run workshops/training to help non-technical users engage with dashboards and tools
• 🤖 Contribute to AI initiative, including mining sales call data, building feedback prompts, and extracting insights from customer conversations

The Ideal Candidate

• Has spent a few years working in data-focused roles, with solid hands-on experience in real-world commercial environments.
• Brings a strong academic foundation, ideally in a technical or numerical subject such as Maths, Physics, Engineering, or Computer Science.
• Comfortable owning projects end-to-end, from working with raw data to presenting insights that drive business decisions.
• A confident communicator who can explain complex analysis in a simple, engaging way.
• Technically fluent with Power BI, SQL, and Python, and eager to work with modern tools like Fabric and Copilot.
• Curious, analytical, and thrives in a fast-paced, collaborative setting.

💡 This role is ideal for someone looking to step into a more visible, hands-on position where they can shape how data is used across a business — and get early exposure to AI innovation in a real-world commercial setting.