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Mid LevelFull-timePythonAWSMySQLAI
Salary Range
$80,750 - $109,250 /year
This salary is estimated based on similar roles. The actual salary may vary.
About the Role
Square Financial Services (SFS) is looking for a Banking Data Analyst to support banking initiatives and maintain 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.
Key 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
- →Present findings and recommendations to leadership
- →Leverage AI tools for exploratory analysis, summarization, and insight generation
Requirements
- ✓5+ years of experience writing complex queries in SQL, MySQL, or similar tools
- ✓Expertise with tools such as Tableau, Mode, Looker, Power BI, or similar platforms
- ✓Hands-on experience building and maintaining data pipelines from multiple sources
- ✓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
- ✓B.A. or B.S. in quantitative field (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
