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
Data Analyst employer: Remobi
As a Data Analyst with our PE-backed fashion retail client, you'll thrive in a dynamic and supportive environment that values clarity and collaboration. Enjoy the flexibility of hybrid working in London, where you can engage directly with stakeholders to make a tangible impact on inventory management. With opportunities for professional growth and a culture that encourages innovation, this role offers a rewarding experience for those looking to advance their career in data analysis.
