As a Commercial Data Analyst, you will be responsible for personalising the customer experience on our website. This involves creating recommendation engines to upsell and cross-sell products.
The role is focused on two distinct but related brands; a B2C retail brand which sells books and a re-commerce brand, which recycles used books and allows consumers to redeem them for cash or vouchers.
Key Responsibilities:
* Collaborate with the data and tech teams to manage the pipeline of data across our eCommerce properties using tags and scripts from Google Tag Manager (GTM) and Google Analytics 4 (GA4) into our BigQuery data warehouse.
* Combine this with other streams of data from our Marketing Technology stack (ETL) to produce insights and initiatives that we can leverage to create better and richer experiences for our customers through segmentation and personalisation.
* Create bespoke geographical pricing algorithms which balance supply/demand of products with achieving target margins across geographies.
* Understand the channels of customer acquisition and help calculate the return on investment (ROI)/attribution of each channel to desired outcomes.
* Work with the internal marketing team to Inform and improve customer loyalty programmes to understand which levers drive repeat purchasing and increase customer lifetime value to the business.
You will work closely with the marketing and promotional teams to develop data-driven solutions that meet their needs.
We are looking for someone who has a strong background in eCommerce and commercial mindset, with exposure to pounds and pence, profit margins, customer pricing experiments etc.
A strong track record of working with GTM/GA4 to set up event tagging is appreciated, with ideally being familiar with the auditing process to verify the efficacy of the data being captured.
SQL skills and ideally BigQuery experience are required, as well as PowerBI experience being a big bonus.
This is an exciting opportunity to join our data team and make a real impact on the business.