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Trade Analyst

Job in Greater London, London, Greater London, W1B, England, UK
Listing for: The Fold London
Contract position
Listed on 2026-07-20
Job specializations:
  • IT/Tech
    Data Analyst
Salary/Wage Range or Industry Benchmark: 60000 - 90000 GBP Yearly GBP 60000.00 90000.00 YEAR
Job Description & How to Apply Below
Location: Greater London

Contract type: Permanent, 40 hours per week

Location: The Fold’s Head office in Bermondsey. Hybrid working – 4 days per week in the office

About the Fold

The Fold London is an award-winning British luxury womenswear brand built on a singular, powerful idea: that the women who run boardrooms, lead teams and shape the world deserve clothes as ambitious as they are. Founded with a clear mission to dress professional women with intention, The Fold has built a loyal global community of customers who value craft, quality, and considered design over fast fashion.

With a multi-channel presence – led by ecommerce and supported by our two London stores in Chelsea and the City – The Fold has built a loyal and growing customer base across the UK, US and internationally.

As we enter the next stage of growth, we are investing heavily in our international expansion, commercial capability, systems, customer insight and operational infrastructure. This role is a key part of that journey.

You can explore our world at  and find us on Instagram, Linked In, and Facebook as @thefoldlondon.

Role Overview

This role sits within the E-commerce team, reporting to the Head of E-commerce, and ensures we’re connecting product, consumer, website and marketing performance to drive growth.

The primary functional objective is to transform manual data workflows and establishing automated, scalable performance dashboards that directly inform weekly and monthly trading cadences. Operating at the core of our digital infrastructure transformation, the position translates complex, multi-channel datasets into immediate commercial actions to optimize revenue, conversion, and margin.

Role Responsibilities Trade Analysis

Own weekly and daily trading analysis across marketplaces and ecommerce

  • Analyse core KPIs (eg):
  • Revenue (Gross & Net)
  • Orders & Traffic
  • Conversion Rate (CVR)
  • AOV
  • Returns
  • Stock cover
  • Product performance
  • Tracking performance and risk/opportunity YoY and vs Plan
  • Moving beyond the ‘what’ and ensuring the business understands the ‘why’ – this is a key role in assessing potential trade action (whether it be marketing, product or trading activity)
  • You’ll be a source of independence across the data, taking a key role in weekly trade meetings, giving you the opportunity to challenge and validate ideas and options.
Forecasting & Reporting
  • Support forecasting across DTC, validating and challenging assumptions. You’ll have a key role in helping to move forward forecasting capability, bringing together all relevant business units – to ensure a clear and data led plan.
  • Identify in-year gaps and opportunities ahead of time, to ensure we’re ready to take advantage or course correct.
  • Partner with teams on promotional planning, range optimisation, channel prioritisation and pricing approaches.
  • Own the rollout of dashboard suites to help deliver quicker decision making across the business. Increase automation and use of AI within reporting, built on a foundation of data accuracy and consistency.
Measurement & Testing
  • This is a key role in delivering a cross-discipline test and learn focus. You’ll bring together teams around key testing initiatives to continuously improve performance across DTC.
  • You’ll be able to influence and identify tests across conversion, traffic, product, merchandising and consumer experience – ensuring reporting is considered upfront and every test has a clear outcome, even if unsuccessful.
About you

We are looking for someone who data and insight obsessed, curious about innovation and has a strong drive for growth!

  • Advanced Excel / Google Sheets (essential)
  • Experience with BI tools (Power BI, Tableau, Looker)
  • Comfortable working with large datasets across multiple sources
  • Understands how trading levers impact performance
  • Thinks commercially, not just analytically
  • Able to prioritise insights based on business impact

Uses AI tools to:

  • Automate reporting and summarisation
  • Accelerate insight generation
  • Identify anomalies or trends

Familiarity with:

  • SQL
  • Python
  • AI-enabled analytics tools (e.g., Copilot, ChatGPT)
  • Turns complex data into clear commercial narratives
  • Produces concise, executive-ready outputs
  • Strong understanding of drivers of ecommerce trade – with…
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