Finance Analytics Associate

Who you are

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

What the job involves

• 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
• 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
• 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
• 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

Benefits

• 401(k)
• Dental insurance