Associate, Finance Analytics

Overview

In this role you will bridge technical data architecture with global treasury operations to deliver clear, data-driven insights that inform strategic decisions. You will collaborate with finance, engineering and treasury teams across time zones to design scalable data pipelines and compelling dashboards. You’ll transform complex data into accessible visuals and share AI/ML-enabled insights with senior stakeholders. This position offers the opportunity to shape treasury analytics at a fast-growing fintech with a global footprint.

Pay / Benefits

• hybrid working model with 3 days in the office
• opportunity for growth and impact
• global team collaboration

Responsibilities

• Act as the bridge between data architecture and treasury operations, translating data findings into clear insights for non-technical audiences.
• Coordinating with cross-regional teams across time zones to align on data definitions, reporting needs, and project timelines.
• Produce concise documentation for data pipelines, dashboards, and metrics to enable global teams to use the tools effectively.
• Present analytical results and AI/ML capabilities to managers and global stakeholders.
• Develop robust data pipelines and models from Manager-provided requirements to support treasury operations.
• ETL/ELT of complex datasets using dbt, Google BigQuery, and Snowflake; ensure scalable, reliable architecture.
• Design, build, and maintain automated treasury dashboards/reports using Looker/Tableau/Power BI.
• Ensure reports are accurate, timely, and aligned with OKRs; uncover trends across treasury domains.
• Explore and implement AI, ML and predictive analytics to improve treasury insights and keep the tech stack cutting edge.

Key requirements

• Bachelor in Data Science, Computer Science, Mathematics, Finance, or related quantitative field (not mandatory)
• 2–4 years of experience in data analytics, data engineering, or business intelligence, preferably in fintech/banking/financial services
• Proven track record collaborating and communicating effectively in distributed or cross-regional teams
• Advanced proficiency in SQL and cloud data warehousing (BigQuery, Snowflake)
• Hands-on experience with dbt
• Strong expertise building dashboards/visualizations in Looker
• Bonus: experience with AI/ML or Python/R for predictive analytics

• Exceptional communicator with strong written and verbal skills
• Collaborative and team-oriented in a globally distributed environment
• Analytical problem-solving with ability to derive insights from messy data
• SQL
• BigQuery
• Snowflake

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