Checkout.com

Senior Data Analyst

27 March 2024
Full Time
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Deadline date:
£100000 - £146000 / year

Job Description

Company Description

We’re Checkout.com 

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, Binance, 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 number 9 on the Forbes Cloud 100 list and on Glassdoor’s list of Top 10 fintechs to work for. 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. So, join us to build tomorrow, today.

Job Description

You will be joining the Identity Verification team, responsible to maintain and continuously improve a world-class online identity verification technology, based on real-time video recognition.

As a Senior Product Data Scientist, you’ll work as part of a cross-functional team alongside product managers, designers, and software and analytics engineers, using data and your expertise to influence and drive the strategy of our products. You will have end-to-end ownership for all the data aspects for your ‘tribe’. You’ll help define how we measure the success of our products, collaborate with engineers on how we collect data, build data pipelines to track the defined metrics, design and build reports/dashboards, and run analyses to find product improvement opportunities. You’ll be a co-owner of a product, driving it to success in partnership with other cross-functional team members. 

You’ll also be part of the broader Analytics function, a team of Analytics Engineers, Data Scientists, and Data Product Managers.

We’re a new but highly visible function within Checkout.com, so this is an exciting opportunity to drive a positive impact.

How you’ll make an impact

  • Be responsible for a product domain and its metrics. You’ll be accountable for defining, measuring, and presenting metrics.
  • Contribute product roadmaps through data-based recommendations and continuously define high-impact areas for improvement.
  • Supporting product discovery, research, and experimentation
  • Working closely with Data Engineers to make sure we collect and model the right data to produce relevant business insights
  • Design and implement 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
  • Foster data culture across products and technology by actively sharing insights and ideas and building positive relationships with colleagues
  • Build experiments and analysis frameworks to quantify the ROI of product development.
  • Drive by example your team and broader data community to apply best practices in analytics from data collection to analysis.

Qualifications

What we’re looking for

  • Proven delivery experience as a data scientist or data analyst
  • Strong communicator, you’re able to explain complex technical topics to non-technical team members
  • Experience conducting experiments, building measurement frameworks, and validating the results with relevant quantitative methods
  • Strong analytical mind, proven experience in converting ambiguous problems into structured and data-informed solutions
  • Curiosity and attention to detail: you like to explore and understand the trends and investigate unusual patterns
  • Proficiency in SQL for data interrogation and data transformation (ideally experience with Looker, Snowflake and dbt)
  • Knowledge of applied statistics (e.g., hypothesis testing, regression)

Additional Information

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.

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

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