checkout.com - Senior Manager, Data Analytics
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Requirements
• Demonstrable multi-year experience in leading data science, product analytics and/or data engineering teams • Proven track record in implementing measurement systems for product and system development, applying experimentation, causal inference and so forth • Experience in collaborating cross-functionally with all levels of stakeholders, setting roadmaps, own prioritization, and scoping for the delivery • AI-forward mindset and fluency in applying Gen AI in both delivery productivity as well as delivering data and analytics products • Demonstrable track record in managing and developing product data scientists and data engineers • Core analytics skills, data interrogation skills with SQL/Python, Data Modelling/Engineering, applied statistics (e.g., hypothesis testing, regression, predictive modelling) • Ideally, having worked with acceptance, fraud and cost optimisation within the context of payments or financial technology services • Robust understanding of how products should be instrumented, with the ability to optimize for rigor while considering cost and quality • 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 Checkout.com http://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 https://www.checkout.com/careers to learn more about our culture, open roles, and what drives us. • For a closer look at daily life at Checkout.com http://Checkout.com, follow us on LinkedIn https://www.linkedin.com/company/checkout/life/ and Instagram https://www.instagram.com/checkout_com/
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