Treasury Analytics Associate — AI-Driven Data Insights

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

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.