Treasury Analytics Associate: Data & AI Enablement

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

Benefits offered by this job

Hybrid work model

Office days 3 per week

Job summary

Checkout.com is seeking a data analytics professional to partner with treasury operations, engineering, and finance teams. You will build scalable data pipelines, model complex datasets, and deliver automated dashboards that reveal actionable insights.

Leverage dbt, BigQuery, Snowflake, Looker and BI tools to empower senior stakeholders across time zones. The role emphasizes collaboration, AI/ML exploration, and continuous improvement within a fast-paced fintech environment.

Qualifications

• 2–4 years of experience in data analytics, data engineering, or business intelligence.
• Experience in fintech, banking, payments or financial services is preferred.
• Strong communication skills for distributed teams.

Responsibilities

• Bridge between data architecture and treasury operations, translating data into insights.
• Coordinate with cross-regional teams across time zones on data definitions and reporting.
• Document data pipelines, dashboards, and metrics for global teams.
• Present findings and AI/ML capabilities to managers and stakeholders.
• Develop data pipelines and models for treasury operations.
• ETL/ELT using dbt, BigQuery, Snowflake.
• Design and maintain treasury dashboards with Looker/Tableau/Power BI.
• Explore AI/ML to improve treasury insights.

Skills

SQL

Analytical thinking

Communication

Education

Bachelor’s degree in Data Science/CS/Math/Finance

Tools

dbt

BigQuery

Snowflake

Looker

Tableau

Power BI

Job description

Checkout.com is seeking a data analytics professional to partner with treasury operations, engineering, and finance teams. You will build scalable data pipelines, model complex datasets, and deliver automated dashboards that reveal actionable insights.

Leverage dbt, BigQuery, Snowflake, Looker and BI tools to empower senior stakeholders across time zones. The role emphasizes collaboration, AI/ML exploration, and continuous improvement within a fast-paced fintech environment.