Associate, Finance Analytics Treasury London

Checkout Ltd; Greater London; Hybrid; GBP 70,000 - 110,000; Full time

Job summary

Checkout.com in London is seeking a data analytics specialist to bridge finance data architecture and treasury operations. You will design data pipelines, build scalable models, and deliver automated dashboards across global teams.

You will work with dbt, BigQuery, and Snowflake, creating insights with Looker/Tableau/Power BI, and explore AI/ML enhancements to improve treasury analytics. This hybrid role offers collaboration across time zones and opportunities to shape fintech data strategy.

Qualifications

• Bachelor's degree in a quantitative field (Not Mandatory).
• 2–4 years of experience in data analytics, data engineering, or business intelligence.
• Proven ability to collaborate in distributed or cross-regional teams.
• Strong SQL and cloud data warehousing skills (BigQuery, Snowflake).
• Hands-on experience with data transformation tools (dbt).
• Expertise in dashboards/visualization (Looker).
• Bonus: experience with AI/ML models and predictive analytics.

Responsibilities

• Act as a bridge between data architecture and treasury operations, translating data insights for non-technical audiences.
• Communicate with cross-regional teams across time zones on data definitions and reporting timelines.
• Draft documentation for data pipelines, dashboards, and metrics.
• Present analytical findings and AI/ML capabilities to managers and stakeholders.
• Develop data pipelines and models to support treasury operations.
• ETL/ELT of complex datasets using modern tech stacks.
• Design and maintain treasury dashboards and reports.
• Explore AI/ML initiatives to improve treasury insights.

Skills

Exceptional Communicator

Technical Agility

Collaboration & Teamwork

Analytical Problem-Solving

Execution-Oriented

Education

Bachelor’s degree in Data Science, Computer Science, Mathematics, Finance, or related quantitative field

Tools

dbt

Google BigQuery

Snowflake

Looker

Tableau/Power BI

Python/R for predictive analytics

Job description

Company Description

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. Whether you want to book a holiday, order food, renew a subscription, or check out online, there’s a good chance our tech powers the payments behind the scenes. Our platform helps the most ambitious businesses deliver effortless digital experiences, at scale. If you want to do career-defining work, you’ve come to the right place. We move fast, think globally, and believe great teams are built by hiring exceptional people with conviction, curiosity, and the desire to make an 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.

Key Responsibilities:

Communication & Stakeholder Management:

• Act as the vital bridge between technical data architecture and business-focused enterprise treasury operations, translating complex data findings into clear, non-technical insights.

• Proactively communicate with cross-regional teams (finance, engineering, and global treasury) across multiple time zones, ensuring alignment on data definitions, reporting requirements, and project timelines.

• Draft clear, concise documentation for data pipelines, dashboard usage, and reporting metrics to ensure global teams can easily understand and leverage your tools.

• Present analytical findings and AI/ML capabilities confidently to both the Manager and broader global stakeholders.

Data Modeling & Technical Execution:

• Take technical requirements translated by the Manager and develop robust data pipelines and models to support treasury operations.

• Extract, transform, and load (ETL/ELT) complex datasets using modern tech stacks including dbt, Google BigQuery, and Snowflake.

• Ensure data architecture is scalable, reliable, and optimized for rapid querying and analysis.

Reporting, BI & Visualization:

• Design, build, and maintain automated, user-friendly treasury dashboards and reports using Looker/Tableau/Power BI (or similar tools).

• Ensure all reports are highly accurate, timely, and aligned with broader business OKRs.

• Uncover and visualize key trends across all treasury domains to support senior stakeholders.

AI & Advanced Analytics Initiatives:

• Explore and implement AI, machine learning, and predictive analytics to improve treasury insights.

• Drive continuous improvement by evaluating new tools and methodologies to keep the team’s tech stack at the cutting edge.

Qualifications:

• Education: Bachelor’s degree in Data Science, Computer Science, Mathematics, Finance, or a related quantitative field (Not Mandatory).

• Experience:

  • 2–4 years of experience in data analytics, data engineering, or business intelligence, preferably within a fintech, banking, payments, or financial services company.

  • Proven track record of working collaboratively and communicating effectively in distributed or cross-regional teams.

• Technical Skills:

  • Advanced proficiency in SQL and cloud data warehousing (specifically BigQuery and Snowflake).

  • Hands-on experience with data transformation tools (dbt).

  • Strong expertise in building dashboards and visualizations in Looker.

  • Bonus: Practical experience or strong familiarity with integrating AI/ML models or leveraging Python/R for predictive analytics.

Key Competencies:

• Exceptional Communicator: Strong written and verbal communication skills; able to distill complex, technical data into clear narratives for diverse, global audiences.

• Technical Agility: Deep understanding of the modern big data tech stack with an appetite for adopting new technologies, particularly in the AI space.

• Collaboration & Teamwork: Thrives in a globally distributed environment, working seamlessly with diverse teams across borders and cultures.

• Analytical Problem-Solving: Highly skilled at diving into complex, messy data to extract clean, reliable, and actionable insights.

• Execution-Oriented: Ability to take high-level objectives and technical tasks delegated by the Manager and deliver scalable solutions efficiently.

Additional Information

Bring all of you to work

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.

Life at 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 to learn more about our culture, open roles, and what drives us.

For a closer look at daily life at Checkout.com, follow us on LinkedIn and Instagram