At a Glance
- Tasks: Lead analytics for innovative financial products and drive data-driven decision-making.
- Company: Join Checkout.com, a key player in the fintech revolution powering global transactions.
- Benefits: Flexible hybrid working model, real ownership, and opportunities for personal growth.
- Other info: Collaborative culture where your unique background is valued and supported.
- Why this job: Make a real impact on how customers manage their money with cutting-edge analytics.
- Qualifications: Experience in analytics leadership and product performance evaluation.
The predicted salary is between 60000 - 80000 £ per year.
We’re Checkout.com. You might not know our name, but companies like eBay, Spotify, Klarna, Uber, and Sony do, because we’re behind many of the digital experiences you use every day. We are where the world checks out, enabling over 10 billion transactions yearly for more than one billion global shoppers. Our platform helps the most ambitious businesses deliver effortless digital experiences, at scale.
As an Analytics Manager for Financial Experiences, you will lead analytics for one of Checkout.com’s strategically important product areas. Financial Experiences (FeX) exists to give customers modern solutions to control and manage their money. The product pillar spans products and capabilities across Checkout Business Account and balances, acceleration, FX, financial reporting and invoicing, pricing and billing, bank payouts, and client settlements.
You will be a co-owner of product success in the pillar: shaping how we measure performance, building the data foundations and self-serve products required to support decision-making, and generating insights that influence roadmap priorities and product outcomes.
What you will do:
- Manage & lead a small team of analytics engineers and product analysts.
- Own the analytics roadmap for FeX, ensuring we are focused on the highest-value opportunities across product measurement, merchant insight, pricing, billing and funds management.
- Define the measurement frameworks, north-star metrics, supporting KPIs, and decision mechanisms that help FeX teams understand whether products are creating value for merchants and for Checkout.com.
- Partner with Product and Engineering leaders to ensure products are correctly instrumented, the right data is captured, and analytics output is trustworthy, scalable, and actionable.
- Deliver self-serve data products, dashboards, and analyses that help teams monitor performance, identify product improvement opportunities, and make better trade-offs faster.
- Increase the data maturity of the pillar by embedding rigorous, data-driven decision-making into discovery, prioritisation, launch measurement, and ongoing product development.
What we’re looking for:
- Experience leading analytics, product analytics, and/or analytics engineering in a product-led environment.
- Demonstrable experience in building descriptive measurement and delivering insights to evaluate product performance and validate impact.
- Experience delivering data products, self-serve analytics, and data models that support decision-making at scale.
- Strong analytical problem-solving skills, with the ability to turn ambiguous business and product questions into clear, structured, data-informed recommendations.
- Proven ability to work cross-functionally with senior stakeholders, align priorities, and scope analytical delivery in complex environments.
- Technical foundation in analytics engineering, ideally building data pipelines with DBT, working with cloud data warehouses, scheduling/orchestration of data pipelines.
- Ideally, experience in payments, fintech, financial products, pricing, billing, treasury, or adjacent financial domains.
Additional Information:
We create the conditions for high performers to thrive, through real ownership, fewer blockers, and work that makes a difference from day one. Here, you’ll move fast, take on meaningful challenges, and be recognized for the impact you deliver. It’s a place where ambition gets met with opportunity, and where your growth is in your hands.
We work as one team, and we back each other to succeed. So whatever your background or identity, if you’re ready to grow and make a difference, you’ll be right at home here.
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.
Our hybrid working model offers flexibility, with three days per week in the office to support collaboration and connection.
Analytics Manager, Financial Experiences in London employer: Checkout.com
Checkout.com is an exceptional employer that champions a flexible hybrid working model, allowing employees to balance their professional and personal lives effectively. With a strong emphasis on growth and collaboration, the company provides ample opportunities for career development while working alongside talented teams in the dynamic financial services sector in London. Joining Checkout.com means being part of a forward-thinking organisation that values compliance and innovation in payments and product regulation.
StudySmarter Expert Advice🤫
We think this is how you could land Analytics Manager, Financial Experiences in London
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We think you need these skills to ace Analytics Manager, Financial Experiences in London
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
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Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Checkout.com. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Checkout.com
✨Brush Up on Your Statistics
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Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
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