National AI Awards 2025Discover AI's trailblazers! Join us to celebrate innovation and nominate industry leaders.

Nominate & Attend

Data Analyst - Womenswear Fashion Supplier

LinkedIn
Greater London
3 weeks ago
Applications closed

Related Jobs

View all jobs

Data Analyst

Data Analyst

Data Analyst

Data Analyst

Data Analyst

Data Analyst

Mode Search is supporting a leading fashion supplier in the search for a dynamic and commercially minded Data Analyst to join their growing team.


This is an excellent opportunity to join a fast-paced, trend-led fashion business with a strong presence across major UK retail channels. The successful candidate will play a key role in shaping how data drives commercial decision-making across trading, pricing, and supply chain operations.

The Data Analyst will be responsible for designing, building, and scaling data solutions to support the business’s commercial and trading functions. The role sits at the intersection of data engineering, analytics, and commercial strategy — ideal for someone who thrives on translating complex data into actionable insights.


Key Responsibilities

  • Build and maintain robust data pipelines to support trading, pricing, and product availability decisions
  • Develop and maintain data models that provide meaningful insight into supplier performance, customer demand, and margin analysis
  • Collaborate with trading, commercial, and supply chain teams to deliver high-impact dashboards and reporting tools
  • Use SQL and Python (or a similar language) to automate processes and improve reporting efficiency
  • Apply commercial thinking to interpret trends and performance data, helping to guide strategic decisions
  • Ensure high standards of data accuracy and consistency across all reporting sources
  • Conduct ad hoc analysis to support trading initiatives and category performance reviews
  • Utilise BI tools (such as Power BI, Looker, or Tableau) to present clear, data-driven insights to stakeholders


To apply, please send your CV to


Due to the high volume of applications, only shortlisted candidates will be contacted.

National AI Awards 2025

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Data Science Jobs Skills Radar 2026: Emerging Tools, Languages & Platforms to Learn Now

The UK’s data science job market is evolving fast—from forecasting models and AI assistants to real-time decision systems. In 2026, data scientists aren’t just expected to build models—they’re responsible for shaping insights that fuel everything from patient care to predictive banking. Welcome to the Data Science Jobs Skills Radar 2026—your essential annual guide to the languages, tools, and platforms driving demand across the UK. Whether you’re entering the job market or reskilling mid-career, this roadmap helps you prioritise the skills that matter most right now.

How to Find Hidden Data Science Jobs in the UK Using Professional Bodies like the RSS, BCS & More

The data science job market in the UK is thriving—but also increasingly competitive. As organisations in finance, healthcare, retail, government, and tech accelerate digital transformation, the demand for data talent has soared. Yet many of the best data science jobs are never posted publicly. They’re shared behind closed doors—within professional networks, at invite-only events, or through member-only mailing lists and specialist interest groups. These “hidden” roles are often filled through referrals, collaborations, or direct outreach to trusted experts. In this guide, we’ll show you how to unlock these hidden opportunities by engaging with key UK professional bodies such as the Royal Statistical Society (RSS), BCS (The Chartered Institute for IT), and Turing Society, plus communities like PyData and AI UK. You’ll learn how to use directories, CPD events, and networks to move beyond job boards—and into roles where you’re approached, not just applying.

How to Get a Better Data Science Job After a Lay-Off or Redundancy

Redundancy can be tough to face, especially in a competitive field like data science. But it’s important to know: your experience, analytical thinking, and modelling skills are still in demand. Across sectors like healthcare, finance, e-commerce, government and AI startups, UK employers continue to seek data scientists who can deliver value through insight, prediction, and automation. This guide will walk you through how to bounce back from redundancy with purpose and clarity—whether you're a data analyst looking to step up, a mid-level data scientist, or a machine learning specialist seeking a better-aligned opportunity.