Data Analyst

Data Analyst

London Full-Time No home office possible
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Base pay range

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Data & Insights Analyst

Location: London (Hybrid)

Type: Full-time

About the Company

We’re working with a London-based luxury fashion brand that’s integrating data at the core of their operations. As the business scales, they’re developing a bespoke ERP platform to drive better decision-making across production, inventory, and sales.

The Opportunity

This is a great opportunity for a skilled Data & Insights Analyst to join a growing team and help shape how data is used across the business. You’ll be responsible for designing pipelines, building dashboards, and delivering insight to support product and operational excellence.

Key Responsibilities

  • Build and maintain ETL processes using Python and Power Query M
  • Work closely with engineering and product teams to embed analytics into the ERP platform
  • Analyse large datasets to support operational efficiency and continuous improvement
  • Contribute to forecasting and inventory optimisation initiatives
  • Present findings to technical and non-technical stakeholders
  • Help establish and maintain best practices in data governance

What We’re Looking For

  • A STEM degree from a Russell Group university or equivalent
  • At least 2 years’ experience using Python for data analysis
  • Advanced Power BI skills, including DAX and Power Query M
  • Solid SQL experience and comfort working with relational databases
  • Strong analytical and communication skills
  • Experience working with product teams to implement data-driven solutions
  • Familiarity with forecasting or inventory planning is a plus

Why Apply?

  • Play a key role in shaping a data-first approach at a high-end fashion brand
  • Work in a hybrid environment with flexibility and autonomy
  • Competitive salary in a growing, innovation-focused business

Seniority level

  • Seniority level

    Mid-Senior level

Employment type

  • Employment type

    Full-time

Job function

  • Job function

    Information Technology

  • Industries

    Retail Apparel and Fashion

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