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Data Analyst

Vinterior

Vinterior

IT, Data Science
United Kingdom
Posted on Jan 6, 2025

About Vinterior

Vinterior is the UK’s leading marketplace for premium pre-owned furniture, offering a sustainable alternative to brand-new.

Since 2016, we’ve built Europe’s largest collection of pre-loved pieces, spanning 25 styles and 100 categories, driving a circular economy for furniture. With 14,000 sellers and 400,000+ unique items, Vinterior is the #1 destination for preloved furniture and homeware in the UK.

Backed by top investors like Seedcamp, Venrex, Active Partners, and Channel 4 Ventures, we’ve raised £16 million to date. This funding will fuel our expansion as we aim to become Europe’s leading pre-owned furniture platform within three years.

About the role

The objective of the role is to uncover insights that will help Vinterior find and prioritise the best opportunities to grow GMV (gross merchandise value, the total value of sales made on our platform) and revenues (Vinterior’s revenue from commission, fees and other sources), and to evaluate tests and initiatives that are launched to make the best decisions about them.

You’ll run your own analysis projects but also keep our analytical tools working well, supporting the wider team in running their own analyses and expanding our data models as the business changes.

This role reports directly to the Chief Product and Technology Officer, but day-to-day will work with all functions in the business: product, supply, brand, CX and finance.

This role is remote, preferably in the UK but Europe on UK timezones works too. Some travel to London and/or other European cities will be required for offsites, once or twice a year.

Core responsibilities:

The key responsibility of the role is to use data analysis to uncover and evaluate growth opportunities for Vinterior, while helping the wider team use our data tooling for their own analyses.

  1. Customer and commercial insights
    • Further Vinterior's understanding of its customers and generate growth hypotheses from this understanding, using customer surveys, feedback tools and qualitative methods in addition to data analysis
    • Conduct regular analysis of the inventory on Vinterior and what type of inventory is driving sales
    • Analyse opportunities to grow revenues
  2. Product analysis
    • Support the Senior Product Manager with analysis to inform product strategy and feature development
    • Conduct deep-dive analysis on the results of product tests and exepriments, and website changes, to understand their impact and share these results with the wider team
  3. Data and BI management
    • Manage and maintain our Looker instance, adding new data models as
    • Support and train the wider team to run their own analyses using Looker, Looker Studio, Amplitude and other tools
  4. User acquisition and retention analysis
    • Analyse the effectiveness of user acquisition activity (marketing channels)
    • Help the business understand repeat purchase behaviour and customer lifetime value, making recommendations on how to improve it
  5. Strategic expansion opportunities
    • Perform analysis to evaluate opportunities such as international or category expansion.