Junior Finance Data Analyst

With Nothing Underneath; London; On-site; GBP 30,000 - 45,000; Full time

Job summary

A dynamic women's clothing brand is seeking a Data Analyst to join their finance and commercial department in London. This crucial role involves analyzing consumer behavior and market trends to enhance marketing strategies and ensure product availability. Candidates should have 1-2 years of experience in data analytics, particularly in DTC or fashion, and be proficient in tools like Excel and Meta analytics. Join a supportive company committed to sustainability and community impact, offering benefits like flexible hours and generous annual leave.

Benefits

33 days annual leave

Flexible working hours

Work from home days

Generous Staff Discount

Annual Volunteer Day

Eye Care Vouchers

Biannual company parties

Qualifications

• 1-2 years in a data or performance analyst role, ideally in DTC or fashion.
• Strong experience analyzing Meta ad data.
• Highly curious and proactive in exploring data.

Responsibilities

• Analyze customer shopping patterns and buying cycles across regions.
• Track and interpret regional demand and engagement trends.
• Create dashboards and deliver reports to support marketing decisions.

Skills

Data analysis

Performance marketing insight

E-commerce analytics

Communication

Collaborative mindset

Education

Experience in a data or performance analyst role

Tools

Excel

Google Sheets

Shopify

Klaviyo

Power BI

Looker

Job description

Overview

We have an exciting opportunity at With Nothing Underneath within our finance and commercial department. We’re looking for a commercially minded Data Analyst with experience in DTC consumer behavior, regional trend analysis, and performance marketing insight, particularly across Meta platforms (Facebook & Instagram). You’ll play a pivotal role in translating marketing and customer data into clear commercial strategies ensuring stock and marketing decisions are timely and effective.

About WNU

With Nothing Underneath is a DTC Womenswear start up creating shirts for women. Inspired by men’s tailoring, British heritage, and timeless style, WNU was born in London in 2017 out of the need for shirts that were perfectly adjusted for women, sustainably sourced, and stood the test of time.

WNU is all about simplicity - paired back, laid back, timeless, effortless. WNU fulfils the under exploited territory of female shirting, in an accessible, easy to shop manner, at an affordable price for a luxury item, using the highest quality sustainable materials. WNU is also a business with a message and a purpose; we are dedicated to running a business that gives back to our community, values our customer, and respects our planet.

Key Responsibilities

Consumer & Behavioural Insight

• Analyse customer shopping patterns, cohort behavior, and buying cycles across regions.

• Identify retention drivers and drop-off points in the purchase journey.

Regional & Market Trend Analysis

• Track and interpret demand and engagement trends by country, city, or region.

• Identify under- and over-performing markets and highlight regional opportunities.

• Support market entry or localisation strategies with data-led recommendations.
  

Monthly and quarterly Meta Ads & Performance Marketing Analytics

• Evaluate Meta ad performance (reach, conversion, ROAS) and how different audiences react.

• Link creative and messaging to downstream customer behavior and purchasing decisions.

• Work closely with the paid media team to iterate and improve campaign targeting.
  

Stock & Commercial Planning

• Align demand trends with stock availability and future buying decisions.

• Provide data-led recommendations for reorders or sell-through strategies.

• Help forecast demand spikes related to marketing activity, seasonality, and regional surges.

Reporting & Collaboration

• Create dashboards and deliver weekly/monthly reports to support trading and marketing decisions

• Translate insights into actionable strategies for senior leadership.

• Work closely with e-commerce, CRM, and finance teams to ensure data consistency and value extraction.
  

Key Skills & Experience

• 1-2 years in a data or performance analyst role, ideally in DTC or fashion/retail.

• Highly curious and proactive in exploring data to find opportunities

• Strong experience analysing Meta ad data (Business Manager, Ads Reporting, etc.).

• Solid understanding of e-commerce and consumer journey analytics.

• Proficient in Excel/Google Sheets

• Ideally experience with Shopify, Klaviyo, or similar platforms.

• Strong communicator who can distil complex data into clear commercial insights.

• Collaborative mindset to work across teams

• Experience in BI tools like Power BI and Looker

Employee Benefits:

• 33 days annual leave for full time employees (25 days holiday + 8 bank holidays)

• Flexible working hours
• Work from home day
• Generous Staff Discount
• Annual Volunteer Day
• Eye Care Vouchers
• Biannual company parties and at least one company away day