Work type: 40 hours, 5 days, Monday to Friday
Holiday: 20 days per annum and bank holiday
Location: Work from Home – as per London time
Start Date: ASAP
Responsibilities:
Collaborate on analysis projects, ensuring that that methodology is robust, analysis is accurate, and conclusions drawn are aligned with the original stakeholder objectives and commercial context.
Regularly report on fintech research and on-boarding which allow us to track our performance in driving long term value of fintechs to our financial institution and banking clients
Mine our data to unearth useful insights to help answer wider business performance questions on an ad hoc basis.
Present insight gathered to stakeholders, telling a compelling story about how we arrived at the insight and how it should be used to drive business value.
Develop a strong understanding of all data sources available to the business (including Social Insights and Market Insights), integrating these into analysis where relevant to develop a holistic understanding of the customer.
Profile customer behaviour and demographics, to enable stakeholders to understand their audience and plan activity accordingly.
Work across the Data family:
Collaborate with our Product and Data Engineering team to make sure we have the right data and tooling available to build a complete picture of our customers.
Collaborate with our Data Science team to shape hypotheses that influence the development and validation of our predictive models.
Must have skills:
Strong experience and knowledge of essential languages like, JAVA, SQL etc. are essential
Knowledge of data modelling in a customer behavioural insight context and research of fintech ecosystem
Strong communication skills – able to communicate complex analytical concepts in a clear and concise manner to stakeholders.
Knowledge or a keen interest in CRM, and Market Insights.
Commercially focused, and aware of how insight can be used to drive busi