Sr. Banking Data Analyst

Block • New York, NY

3h

About The Position

Block is one company built from many blocks, all united by the same purpose of economic empowerment. The blocks that form our foundational teams — People, Finance, Counsel, Hardware, Information Security, Platform Infrastructure Engineering, and more — provide support and guidance at the corporate level. They work across business groups and around the globe, spanning time zones and disciplines to develop inclusive People policies, forecast finances, give legal counsel, safeguard systems, nurture new initiatives, and more. Every challenge creates possibilities, and we need different perspectives to see them all. Bring yours to Block.
Square Financial Services, Inc. (SFS) is Block’s bank. We opened in March 2021 and provide lending and FDIC-insured deposit products to individuals and small businesses on a nationwide basis.
The Square Financial Services (SFS) Business team is looking for a skilled and detail-oriented Sr. Banking Data Analyst to support SFS’ banking initiatives and maintain robust data infrastructure for existing products. This role is critical in enabling data-driven decision-making across business teams, supporting both the launch of innovative banking solutions and the optimization of our current product portfolio. You will turn complex datasets into clear, actionable insights that inform strategy, experimentation, and business performance across the Bank’s product offerings and banking operating platform.
This role emphasizes strong stakeholder partnership, high-quality self-service analytics, and rigorous measurement to support fast, data-driven decision-making. Your core focus will be data analytics, with opportunities to grow your skills by partnering with the Business team. You will report directly to the Bank’s Chief Business and Banking Officer.

Requirements

• 5+ years of experience writing complex queries in SQL, MySQL, or similar tools (experience with Snowflake a plus)
• Expertise with tools such as Tableau, Mode, Looker, Power BI, or similar platforms
• Hands-on experience building and maintaining data pipelines from multiple sources; ability to design ETL/ELT workflows
• Experience supporting product teams and understanding product development lifecycle
• Ability to communicate technical findings in clear written reports and executive-level presentations
• Ability to translate technical findings into actionable business insights for non-technical stakeholders

Nice To Haves

• B.A. or B.S. in quantitative field (i.e. Mathematics, Statistics, Economics, Computer Science, Engineering Sciences)
• Banking/FinTech Experience: Familiarity with banking products, financial services, or payments industry
• Hands-on experience with Python and A/B testing methodologies

Responsibilities

• Partner with Engineering, Product, Business, and Finance teams to understand data needs and deliver solutions to support first line banking operations
• Participate in product task force meetings and contribute data-driven perspectives
• Amend and optimize existing data pipelines to accommodate new data sources, business requirements, and performance improvements
• Build data pipelines, dashboards, and reporting infrastructure to support regulatory and financial monitoring
• Investigate data discrepancies, resolve data quality issues, and provide timely support to internal stakeholders
• Create and maintain comprehensive documentation of data definitions, metrics, and analytical methodologies to build a knowledge base for the team
• Present findings and recommendations to leadership, ensuring data-driven insights inform decision-making
• Leverage AI tools for exploratory analysis, summarization, and insight generation

Benefits

• Every benefit we offer is designed with one goal: empowering you to do the best work of your career while building the life you want.
• Remote work, medical insurance, flexible time off, retirement savings plans, and modern family planning are just some of our offering.
• Check out our other benefits at Block.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level