Vacancy description
Analytics Engineer in London, United Kingdom
Checkout.com
- HybridMix of office and remote
- On-siteWork from the office
- Full-timeStandard weekly hours
London, United Kingdom
Company Description
We’re https://jobeax.com/link/q5UJKXhptAfXLJ6b . You might not know our name, but companies like eBay, Spotify, Klarna, Uber, and Sony do, because we’re behind many of the digital experiences you use every day.
We are where the world checks out, enabling over 10 billion transactions yearly for more than one billion global shoppers.
Job Description
As a Data 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 ImpactDesign 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
Key Requirements
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
Bring all of you to work
We create the conditions for high performers to thrive, through real ownership, fewer blockers, and work that makes a difference from day one.
Here, you’ll move fast, take on meaningful challenges, and be recognized for the impact you deliver. It’s a place where ambition gets met with opportunity, and where your growth is in your hands.
We work as one team, and we back each other to succeed. So whatever your background or identity, if you’re ready to grow and make a difference, you’ll be right at home here.
It’s important we 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.
Life at https://jobeax.com/link/q5UJKXhptAfXLJ6b
We understand that work is just one part of your life. Our hybrid working model offers flexibility, with three days per week in the office to support collaboration and connection.
Curious about what it’s like to be part of our team? Visit our Careers Page to learn more about our culture, open roles, and what drives us.
For a closer look at daily life at https://jobeax.com/link/q5UJKXhptAfXLJ6b , follow us on LinkedIn and Instagram