Product Data Analyst

Shawbrook is a new type of specialist financial services company, combining the relentless focus on customer service and innovation you would expect from a fintech with the expertise and certainty of a bank. Shawbrook is driven by a purpose to solve complex problems that unlock opportunity for its rapidly growing customer base of over 300,000 UK consumers and businesses.

Our success would not have been possible without our Team. Our people differentiate us from the competition through their deep sector knowledge, they are the life force of our business.

Join Shawbrook because you:

• Want to help us deepen our industry sector knowledge, combining technology alongside the best banking brains.
• Want to build a bank for the future and be part of our digital transformation journey that will enable customers & businesses to thrive
• Want to continue to grow professionally. We encourage you to grow and be the best version of yourself.
• Care about sustainability? We want to be better for our people, environment and society.
• Bring passion and enjoyment to your work. You’ll work hard but you’ll have fun too.

We think you’ll be a great fit if…

• You have exceptional communication skills and are comfortable in a range of situations: moderating technical discussions, presenting to groups, and nurturing a collaborative ego-free culture among diverse areas of the business.
• Experience with Azure, including a knowledge of serverless Azure Synapse Analytics and Azure Data Lake
• An understanding of how to extract data from disparate sources such as APIs, databases, and object storage
• Ability to extract data from complex data structures, such as non-relational document objects, XML, HTML and parquet files
• An understanding of how to deploy python modules, with appropriate email integration and error handling/logging
• Experience with version control and releases of features / products into a regulated production environment. Knowledge of Unit Testing, Integration testing and linting best practices.

Nice to have:

• An understanding of how to design data marts
• Experience with cross language data transformation with an understanding of when to use SQL, Python and Spark
• An understanding of how to create and implement YAML pipelines to deploy python modules, with appropriate email integration and error handling/logging