Commercial Data Analyst at ClearScore

The role
ClearScore is looking for a new Data Analyst focused on commercial performance. 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.

You will be focused on commercial analytics and will be working with the monetise team - attempting to maximise commercial performance across the business. This will be a mixture of understanding individual product, partner and vertical performance and then understanding this contribution to the overall commercial performance. You will forecast and track performance at product/partner/vertical levels to ensure targets are hit, whilst understanding the relationship between products/partners/verticals, and the effects of cannibalisation. You will also analyse user buying behaviour which will allow ClearScore to provide the right product at the right time. All of this will be in aid of optimising commercial performance.

Responsibilities

• Provide accurate and timely commercial performance data for an internal and external audience.
• Improve and maintain commercial dashboards to enable visibility and allow diagnoses of performance.
• Understand partner and product incrementality, dependencies and cannibalisation, which will allow forecasting at a macro and product/partner/vertical level.
• Analyse our commercial performance, to provide the right product to the right user, at the right time
• Work with the team to ensure robustness when testing new products/partners/verticals, understanding incrementality and performance.

Requirements

• You have significant experience in commercial analysis; understanding marketplace limitations, advantages and performance.
• You think about users, not just numbers, understanding the key drivers of churn, engagement and monetisation.
• 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.