Product Data Analyst

The Company

A market leading FinTech scaleup, who have grown at real pace over the last few years, after several successful crowdsourcing fundraising rounds, having grown to over 200 individuals, their aiming to double in size as they consolidate their presence within the ethical Fintech marketplace.

By empowering younger people to take control of their finances and learn fiscal responsibility from a young age within a fun, safe platform they are operating at the forefront of education and technology.

They have recently moved to a new central London office, which has a very friendly, colloquial office environment, with no dress code, and a remote first policy meaning you can go in as much or as little as you desire. With an excellent team of very high calibre individuals working seamlessly to improve the product as the user base grows, they offer fantastic progression opportunities and career development.

The Role

Working closely with other senior stakeholders throughout the product team, you will be looking to understand the successful features of the products that have been developed, as the business approaches 3 million users worldwide.

You will also be responsible for identifying areas for improvement through techniques such as A/B testing and conducting the relevant analysis, developing data driven hypotheses, implementing data structures and profiling using Bi tools such as SQL, Python, Looker and Google Analytics, communicating insights with senior stakeholders throughout the organisation in order to improve business performance.

The Candidate

To be successful in your application, you will have the following skills:

• Strong commercial experience with SQL
• Experience in data modelling
• Experience in creating and delivering reports/dashboards using business intelligence tools
• Experience delivering reports to senior stakeholders
• A strong, quantitative degree background

The successful applicant will likely have the following skills and experience:

• Commercial experience with Python
• Experience with web analytics tools such as Google Analytics and Adobe Analytics
• Experience within the digital education industry or previous experience within a gamified application