Data Analyst

London (Hybrid, mainly remote)

We’re supporting a PE-backed fashion retail client on a freelance basis to help bring clarity to their inventory data.

The client’s inventory data currently sits across around ten different spreadsheets with no single agreed source of truth. We’re looking for a sharp, personable Data Analyst to get under the hood, work directly with the client’s team, and build a clean, centralised baseline of their current inventory position.

What you’ll be doing:

• Working closely with client stakeholders to identify the source of truth across multiple spreadsheets
• Asking the right questions to untangle inconsistent, messy data
• Using Excel (and ideally AI tools) to build a clear, centralised view of inventory status
• Bringing structure and clarity – this is not a data engineering or system-building role

What we’re looking for:

• Comfortable using AI tools to speed up data wrangling
• Confident, personable, and comfortable working with non-technical, client-side stakeholders
• Patient, low-ego, and happy to dig through messy spreadsheets to get to the answer
• Fashion retail experience is a bonus, not a must

The details:

• London-based, hybrid working – mainly remote
• Single-stage interview process – moving quickly, with slots available this week

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