Ecommerce Data Analyst

ECOMMERCE DATA ANALYSTHYBRID - LONDON - 3X A WEEK (MON, TUE, THU)SALARY UP TO £50,000

Please note, this company is unable to offer sponsorship, and you must be a UK resident to apply

THE COMPANY

This fast-growing D2C brand is making waves in the personal care space. With a recently launched modern data platform and a centralised data team in place, they're investing heavily in using data to scale smarter and faster. The marketing operation is split across Influencer and Performance Marketing, and both teams are now looking to level up their data support, which is where you come in.

THE ROLE

As an Ecommerce Data Analyst, you'll sit within the central data team and act as a key link between data and marketing. You'll provide actionable insights, automate reporting, and reduce manual workstreams, particularly for the Influencer and Performance Marketing teams.

Your responsibilities will include:

• Supporting the Influencer Marketing team by cleaning and analysing campaign data, building reports, and automating repetitive tasks.
• Partnering with the Performance Marketing team (Google, Meta, Snap) to deliver insights and campaign reports.
• Designing and building dashboards in ThoughtSpot (or similar).
• Writing SQL queries across Snowflake (and DBT pipelines).
• Identifying opportunities to streamline reporting processes and reduce reliance on spreadsheets/manual input.
• Presenting findings and performance insights back to marketing stakeholders in a clear, actionable way.

REQUIREMENTS

Must-Have:

• Strong SQL skills.
• Proven experience in marketing/ecommerce data analysis.
• Experience working with dashboarding tools (ThoughtSpot, Looker, Tableau, etc.).
• Commercial awareness of core marketing metrics (CAC, ROAS, attribution, etc.).

WHY WORK HERE?

• Join a rapidly growing brand with a loyal customer base and clear mission.
• Work closely with marketing and have real ownership over data strategy and delivery.
• Be part of a small, collaborative data team where your work has high visibility and direct impact.
• Influence how data is used across the business; from manual to modern, static to scalable.