About the role
Company Description We’re Checkout.com - you might not know our name, but we’re behind many of the digital experiences people use every day. When you book a holiday, order food, renew a subscription or check out online with brands like Spotify, Klarna, Uber Eats, TikTok, Sony, or eBay, there’s a good chance our technology powers the payment behind the scenes. At Checkout.com , we’re building where the world checks out - enabling over ten billion transactions every year for more than one billion shoppers globally. Our platform helps the world’s most ambitious businesses deliver seamless digital experiences at scale. We’re also building a company designed for people who want to do career-defining work. We move fast, think globally, and believe great teams are built by hiring exceptional people with conviction, curiosity, and a focus on 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. We are looking for a hands-on, highly technical Data Analytics Manager - Finance to join our global Finance function. This role is a critical intersection between technical data architecture and financial strategy. You will lead a team of analysts to transform raw financial data into a "single source of truth," driving predictability in our finance department working across verticals such as Finance Operations, Group Financial Controllers, FP&A, Tax, TPRM etc. As our CEO Guillaume Pousaz says, "High performance is a science, not an accident." You will be the lead scientist for our financial data. You will own the data pipelines, architect scalable models in BigQuery, and act as a strategic bridge between Finance, Engineering, and Revenue Operations. This requires the candidate to be a really strong collaborator, engaging deeply with the Product and Engineering teams. Given the global nature of our operations, occasional flexibility in working hours may be required, as some data becomes available post close of business for local hours. What you will be doing Data Architecture & Strategy: Act as the technical owner of the Finance data ecosystem. You will oversee the design and execution of robust data pipelines using dbt , BigQuery , and Snowflake to ensure our financial processes are efficient, scalable and real-time. Financial Reporting & BI: Lead the development of sophisticated, automated dashboards in Looker or other visualization tools . You will move the needle from manual processes to data-backed predictability, ensuring leadership has a clear view of trading activity, financial reporting, and financial OKRs. #NoRoomForApproximation Team Leadership & Mentorship: Manage and develop a team of Finance Data Associates. You will foster our "Human Operating System" by coaching your team to bridge the gap between technical execution and business impact. Strategic Partnership: Collaborate with the Heads of various verticals, such as Finance Operations, Group Financial Controllers, Tax, FP&A, TPRM etc. You will translate complex financial