We are expanding our team of Analytics Engineers. As a data professional, your key contribution will be helping to define and build GoCardless’s core data models which provide the foundations for BI excellence and downstream data-hungry teams and tools. You’ll create the underpinning models that enable deep insight into a fast-growing business and do so with scale and resilience in mind from day one.
You’ll help people in all areas of GoCardless make better, faster, more data-driven decisions and develop an expert knowledge of all areas of our operation.
You’ll sit in our Product Development team and will work with technical and non-technical people across the whole company. You’ll collaborate closely with our team of talented BI Analysts, designing and implementing the foundations they need to provide first class analysis to the business.
The main elements of this role will involve:
Developing coherent and performant data models that transforms large, complex and disparate datasets into the basis for explorable, understandable and accurate data products
Building end-to-end analytics solutions from ETL through to data modelling and on to front end dashboards
Collaborating with engineers to prototype, design and build pipelines which take raw data from production systems and deliver them in a format suitable for analytic workloads
Supporting people across the company to enable them to self-serve Business Intelligence through analytics tools - we’re using DBT and Looker at GoCardless.
Collaborating with BI Analysts and other data teams to create a data architecture that powers their deep-dive analysis to both test specific hypotheses and generate new business insights
Collaborating with our team of Data Infrastructure Engineers to design and implement ingestion pipelines for new data sources, leveraging their tooling to expand the breadth of the GoCardless data warehouse
Who we’re looking for
You can point to a solid track record as a developer of first class data tooling
You’re a self-starter - you take initiative in spotting opportunities and finding ways to solve problems with data
You’re used to sharing your technical work in a clear way to others around you
You’re good at quickly getting a grasp of any dataset that you’re working with
You’ll have experienced the technical problems of setting up self-serve analysis and be interested in the technology behind the scenes
You’ll be able to demonstrate how you have automated repetitive tasks and built robust ETL pipelines
You have commercial experience in a fast moving company
You have good SQL skills and experience of scripting languages like Python
Experience with Big Data technologies (e.g. BigQuery, Snowflake) and working with data at scale
You have a firm grasp of self-serve data tools like Looker, Tableau, QlikView or similar. We’re using Looker at GoCardless.
You can communicate your work clearly to both technical and non-technical audiences