Senior Product Data Analyst - Identity Verification Paris

Senior Product Data Analyst - Identity Verification

• Full-time


• Cost Center Hierarchy: Product


• CKO Department: Technology

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.

As a Senior Product Data Analyst, 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'll help define how we measure the success of our products, collaborate with engineers on how we collect data, design and help 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 will be joining the Identity Verification team, responsible for maintaining and continuously improving a world-class online identity verification technology, based on real-time video recognition. 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 to product roadmaps through data-based recommendations and continuously define high-impact areas for improvement.


• Support product discovery, research, and experimentation.


• Work closely with Data Engineers to ensure 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.

Minimum Requirements:

• Proven delivery experience as a Data Analyst or statistical Data Scientist.


• Strong communicator, 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 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).

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.

We believe in equal opportunities: We work as one team. Wherever you come from. However you identify. And whichever payment method you use.

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.

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Location: Paris, FR

Posted Date: 11/28/2024