Senior Data Analytics Engineer

The role

By joining the Product Analytics team, 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. You will work 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 and operationalizing them

Hybrid Working Model: All of our offices globally are onsite 3 times per week (Tuesday, Wednesday, and Thursday). We’ve worked towards enabling teams to work collaboratively in the same space, while also being able to partner with colleagues globally. During your days at the office, we offer amazing snacks, breakfast, and lunch options in all of our locations.

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

Requirements

What we’re looking for

• 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
• Excellent time management and proactive problem-solving skills

Additional information

Apply without meeting all requirements statement

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 [https://youtu.be/BEwnpHuadSw>
• Our careers page [https://www.checkout.com/careers>
• Our LinkedIn Life pages bit.ly/3OaoN1U
• Our Instagramhttps://www.instagram.com/checkout_com/