Marketing Data Analyst at ClearScore

Description
The role

ClearScore is looking for a new Data Analyst focused on Marketing Analytics. You will join the team in delivering insight and analysis which allow ClearScore to rapidly scale and deliver a seamless experience for our users. Analysts play a key role within ClearScore, driving strategy and key decision-making, which ultimately benefits our users, partners, and other teams within the business.

ClearScore has an amazing analytical community which includes Data Analysts, Scientists and Engineers. The community works collaboratively to ensure a landscape in which team members can develop their full potential and deliver maximum business impact.

You will be focused on marketing analytics and will be working with the acquisition team – attempting to maximise volume of acquisition for the lowest cost and ensuring the quality of users acquired. This will be a mixture of understanding individual channel performance (i.e. digital, social, PPC, TV) and then understanding the channel contribution to the overall acquisition performance. You will forecast and track performance at channel levels to ensure targets are hit, whilst working alongside our data scientists to build out econometric and attribution models to understand performance and relationships between channels. You will also analyse acquisition quality once users have signed up which will enable you to build targeting strategies. All of this will be in aid of optimising budgets across channels to maximise output.

Responsibilities:

• Improve and maintain dashboards to enable visibility and allow diagnoses of performance. Automate financial (LTV/NPV) calculation to understand profitability and budget flexibility, as well as highlighting opportunity in high performing channels
• Understanding channel incrementality and dependencies, which will allow forecasting at a macro and channel level which can be tracked against, through utilising econometric/attribution models to measure above-the-line channels but also cannibalisation and incrementality
• Analysing our acquisition, to understand the most valuable users using segmentations, to build out, validate and improve targeting strategies
• Working with the team to ensure robustness when testing new channels, understanding incrementality and performance

Requirements

• You have significant experience in marketing analysis; understanding channel limitations and advantages
• You think about users, not just numbers, understanding the key drivers of churn, engagement and activation.
• You enjoy helping non-analysts to put data at the heart of what they do – through A/B testing, use of analytical tools such as Amplitude, or training others to carry out their own analysis.
• You can take complex problems, build hypotheses, then test them through data investigations and clearly present back findings and recommendations
• You must know SQL, ideally Python and experience with tools such as Amplitude and BlueShift is a plus.
• You have a desire to learn and enjoy working collaboratively, with a desire to contribute to our culture.
• You do not need to fit into a stereotype: we are really committed to closing our gender gap and are actively trying to create an environment where you, as an individual, can thrive.