Data Analytics Engineer

Checkout.com

London

Company Description

Checkout.com is one of the most exciting fintechs in the world. Our mission is to enable businesses and their communities to thrive in the digital economy. We're the strategic payments partner for some of the best known fast-moving brands globally such as Wise, Hut Group, Sony Electronics, Homebase, Henkel, Klarna and many others. Purpose-built with performance and scalability in mind, our flexible cloud-based payments platform helps global enterprises launch new products and create experiences customers love. And it's not just what we build that makes us different. It's how.

We empower passionate problem-solvers to collaborate, innovate and do their best work. That's why we're on the Forbes Cloud 100 list and a Great Place to Work accredited company. And we're just getting started. We're building diverse and inclusive teams around the world - because that's how we create even better experiences for our merchants and our partners. And we need your help. Join us to build the digital economy of tomorrow.

Job Description

As an Analytics Engineer at Checkout you will be responsible for enabling key insights on how products are performing and establishing a single source of truth for North Star and tracking metrics, working closely with product managers and product data scientists to shape the product's evolution at Checkout.

You'll have the opportunity to build new data products and introduce step changes in how we view analytics for these critical areas. You'll have end-to-end ownership of multiple data products from design to implementation to the operationalisation.

How you'll make an impact

Design and implement high-performance, reusable, and scalable data models for our data warehouse using dbt and Snowflake
Design and implement Looker structures (explores, views, etc) which will enable users across the organization to self-serve analytics
Work closely with data analysts and business teams to understand business requirements and provide data ready for analysis and reporting
Continuously discover, transform, test, deploy and document data sources and data models
Apply, help define, and champion data warehouse governance: data quality, testing, documentation, coding best practices and peer reviews
Take initiative to improve and optimise analytics engineering workflows and platforms

Qualifications

Proven delivery experience as a data, business intelligence or analytics engineer
Hands-on proven data modeling and data warehousing skills demonstrated in large-scale data environments
Proven experience in software development lifecycle in analytics (e.g. version control, testing, and CI/CD)
Excellent SQL and data transformation skills (e.g. ideally proficient in dbt or similar)
Familiarity with at least one of these Cloud technologies: Snowflake, AWS, Google Cloud, Microsoft Azure
Passionate about sales, finance, customer, marketing and/or product analytics data
Good attention to detail to highlight and address data quality issues

Additional Information

If you don't meet all the requirements but think you might still be right for the role, please apply anyway. We're always keen to speak to people who connect with our mission and values.

We believe in equal opportunities

We work as one team. Wherever you come from. However you identify. And whichever payment method you use.

Our clients come from all over the world - and so do we. Hiring hard-working people and giving them a community to thrive in is critical to our success.

When you join our team, we'll empower you to unlock your potential so you can do your best work. We'd love to hear how you think you could make a difference here with us.

We want to set you up for success and make our process as accessible as possible. So let us know in your application, or tell your recruiter directly, if you need anything to make your experience or working environment more comfortable. We'll be happy to support you.

Take a peek inside life at Checkout.com via

Our Culture video
Our careers page
Our LinkedIn Life pages bit.ly/3OaoN1U
Our Instagram

Apply without meeting all requirements statement