Data Analyst

James Adams; London; Hybrid; GBP 55,000 - 65,000; Full time

Job summary

A luxury fashion brand in London is seeking a Data & Insights Analyst to drive data integration and insights across the business. Key responsibilities include building ETL processes with Python, creating dashboards using Power BI, and supporting operational improvements through data analysis. This hybrid role offers a competitive salary and the opportunity to play a key role in a data-driven strategy.

Benefits

Competitive salary

Flexible work environment

Autonomy in role

Qualifications

• Minimum of 2 years’ experience using Python for data analysis.
• Advanced proficiency in Power BI, including DAX and Power Query M.
• Solid experience with relational databases.

Responsibilities

• Build and maintain ETL processes using Python and Power Query M.
• Create insightful dashboards in Power BI.
• Analyse large datasets to improve operational efficiency.

Skills

Python for data analysis

Power BI

DAX

SQL

Data governance best practices

Analytical skills

Education

STEM degree from a Russell Group university or equivalent

Tools

Power Query M

Job description

Data & Insights Analyst

Location: London (Hybrid)

Type: Full-time

Salary: £55,000–£65,000 (DOE)

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
• Create clear, insightful dashboards in Power BI using DAX
• 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