Senior Analytics Engineer London

Checkout Ltd; Greater London; Hybrid; GBP 70,000 - 120,000; Full time

Benefits offered by this job

Hybrid working

Job summary

Checkout.com is seeking a Data Analytics Engineer to enable key product insights and establish a single source of truth for North Star metrics. You will own multiple data products end-to-end, from design to implementation to operationalization.

You will build scalable data models and analytics pipelines, collaborating with product managers and data scientists to shape the product's evolution. Hybrid working applies, with a London focus.

Qualifications

• Proven delivery experience in data, BI or analytics engineering.
• Hands-on data modelling and data warehousing skills in large-scale environments.
• Experience with analytics SDLC, version control, testing, and CI/CD.
• Excellent SQL and data transformation skills (dbt or equivalent).
• Familiar with Snowflake/AWS/GCP/Azure cloud platforms.
• Passion for analytics across sales, finance, customer, marketing or product domains.
• Attention to data quality and governance practices.

Responsibilities

• Design and implement high-performance, reusable data models for the data warehouse using dbt and Snowflake.
• Design Looker structures to enable self-serve analytics across the organization.
• Collaborate with data analysts and business teams to provide data-ready analyses and reports.
• Continuously discover, transform, test, deploy and document data sources and models.
• Champion data quality, testing, documentation, and coding best practices in governance.

Skills

Data modelling

Data warehousing

SQL

CI/CD

Analytical mindset

Tools

dbt

Looker

Snowflake

AWS

GCP

Job description

Company Description

We're Checkout.com. 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.

Whether you want to book a holiday, order food, renew a subscription, or check out online, there's a good chance our tech powers the payments behind the scenes. Our platform helps the most ambitious businesses deliver effortless digital experiences, at scale.

If you want to do career-defining work, you've come to the right place. We move fast, think globally, and believe great teams are built by hiring exceptional people with conviction, curiosity, and the desire to make an impact.

With 20 offices across six continents and London as our HQ, we're shaping the future of fintech - and we're just getting started.

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 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

Key Requirements

• Proven delivery experience as a data, business intelligence or analytics engineer
• Hands-on proven data modelling 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.

Life at Checkout.com

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 Checkout.com, follow us on LinkedIn and Instagram