Purpose of role: Own everything data related for our portfolio companies, from building correct data tracking to analysing the data in order to help our teams achieve their KPIs. Initially, the role will focus primarily on conversion related variables, helping the teams to identify where the key gaps lie in the conversion funnel, whilst building demand indicators to optimise margins (for eg by way of pricing throughout the year) and to, over time, build an automated pricing algorithm based on these demand indicators. Also, understanding what variables impacts website traffic and broader conversions at different times of the year for different post codes (especially as we know that certain postcodes are solely represented by certain customer segments, that might well require a specialised UX and pricing – e.g. different UX for business postcodes vs student postcodes) and new/returning customers. These variables can range from weather to school holidays to other numerous factors. The Head of Performance will design a system to alert for both positive signals (when prices can be increased) or negative signals (when prices need to be reduced), based on the variables mentioned above, to optimise margins. The Head of Pricing will also own a calendar to forecast demand (split by postcode where possible) to drive proactive recommendations on pricing adjustments along with PPC spend adjustments. The Head of Performance will work closely with: PPC department to time PPC spend and to drive PPC spend to best performing pages UX/UI to prioritise pages which are underperforming and/or indeed to recommend pages / situations that warrant specialised UX (e.g. for certain post codes) to optimise pricing and demand. Background PhD in mathematics or other scientific field Experienced in writing code to retrieve data to analyse; SQL, python and/or other similar languages Experienced in analysing data, understanding the implications of the data and how to present this in a succinct and clear way to management to drive decision maing Examples. If we see variables indicating an influx of price-insensitive customers (for e.g. scape students, which can be identified based on their postcodes) – ensure that discounts are kept to a minimum and prices potentially raised If low traffic periods are taking place (mid-term or XMAS), understand optimal level of pricing, discounting, PPC investment Certain postcodes are less price sensitive than others. Design algorithm to optimise pricing / margins for all key postcode areas