Finance Analytics Associate: AI-Driven Treasury Insights

Checkout.com; Greater London; Hybrid; GBP 60,000 - 90,000; Full time

Benefits offered by this job

Hybrid work model

Office flexibility

Job summary

Checkout.com is seeking a data analytics professional to design and scale data pipelines supporting treasury operations. You will extract insights, build robust dashboards, and collaborate with cross-regional teams to drive data-driven decisions across the business.

The role requires 2–4 years of data analytics/engineering experience, strong SQL, and proficiency with BigQuery, Snowflake, and Looker. A hybrid work model with a London presence is offered.

Qualifications

• Bachelor’s degree in a quantitative field (not mandatory).
• 2–4 years in data analytics, data engineering, or BI in fintech/financial services.
• Strong communication across distributed or cross-regional teams.

Responsibilities

• Translate data findings into clear business insights for non-technical stakeholders.
• Develop data pipelines and models to support treasury operations.
• ETL/ELT using dbt, Google BigQuery, and Snowflake.
• Design, build, and maintain dashboards with Looker/Tableau/Power BI.
• Present analytics, AI/ML capabilities, and insights to senior stakeholders.

Skills

SQL

BigQuery

Snowflake

dbt

Looker

AI/ML familiarity

Education

Bachelor's degree

Job description

Checkout.com is seeking a data analytics professional to design and scale data pipelines supporting treasury operations. You will extract insights, build robust dashboards, and collaborate with cross-regional teams to drive data-driven decisions across the business.

The role requires 2–4 years of data analytics/engineering experience, strong SQL, and proficiency with BigQuery, Snowflake, and Looker. A hybrid work model with a London presence is offered.