Data Analyst, Financial Data Engineering

Responsibilities

• ▹Design, build, and maintain scalable data pipelines and ETL/ELT workflows that power production-grade financial reporting, risk measurement, and operational decisioning for Treasury Finance
• ▹Leverage AI tools (code assistants, LLM-based agents) to accelerate pipeline development, data quality automation, reconciliation, and documentation
• ▹Model and transform raw data into clean, well-documented datasets that serve as the core foundations for Treasury Finance decision making (e.g. float positions, cash explainability, risk exposures, liquidity management)
• ▹Establish and enforce data quality standards through testing, monitoring, and alerting on pipeline health
• ▹Establish and own data freshness SLAs, operational alerting, and incident response for your data domains
• ▹Partner deeply with Treasury Finance, data scientists/analysts, and engineers to define data requirements and deliver trusted, reusable financial data products
• ▹Translate business requirements into data architecture decisions, anticipating needs and helping to drive data strategy
• ▹Build self-service tooling and an analytics layer that empower stakeholders to access and explore trusted data autonomously

Requirements

• ▹6+ years of full-time experience in Data Engineering, Analytics Engineering, Business Intelligence Engineering, or a related analytical role
• ▹Proficiency in SQL, including complex query optimization and data modeling
• ▹Proficiency in Python for data pipeline development, not just scripting
• ▹Experience with distributed data frameworks like Spark to write and debug data pipelines
• ▹Experience with workflow orchestration tools (e.g. Airflow, Flyte, or equivalent)
• ▹Proven ability to design, implement, and maintain production-grade data pipelines and dashboards
• ▹Good understanding of development processes and best practices like engineering standards, code reviews, and testing
• ▹Ability to clearly communicate results and drive impact with cross-functional partners
• ▹Experience owning production data products with defined quality standards, testing, and documentation

Nice to have

• ▹Prior experience at a growth-stage internet or software company
• ▹Prior experience working with Finance or Treasury teams
• ▹Understanding of treasury and finance concepts (e.g. float positions, FX exposure, cash reconciliation, balance sheet usage, liquidity management)
• ▹Experience with data quality frameworks, data contracts, tiering/classification, or SLA management
• ▹Experience creating leadership-level reporting, such as QBRs and MBRs
• ▹Experience building financial reporting infrastructure, e.g. automated treasury processes, regulatory reporting, or finance close
• ▹Proficiency with AI tools (code assistants, LLM agents) to accelerate pipeline development and data quality automation
• ▹Interest in how data products enable automated/agentic workflows

Soft skills

About the company

Stripe is a financial infrastructure platform for businesses. Millions of companies — from the world's largest enterprises to the most ambitious startups — use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Their mission is to increase the GDP of the internet.