Data Analyst (Payments)

• As a Data Analyst on the Payments team, you’ll be at the forefront of shaping our understanding of customer behavior, payments product performance, and operational efficiency. You’ll work closely with product managers, engineers, and other stakeholders to translate business questions into actionable insights. Your work will directly impact key decisions related to our banking products, features, and overall strategy
• Analyze large datasets to uncover trends, patterns, and improvement opportunities in banking products and services
• Build and maintain dashboards and reports to track KPIs and deliver clear insights to stakeholders
• Conduct discovery and deep-dive analyses to support data-driven decision-making
• Partner with product managers and engineers to define and measure the success of features and initiatives
• Design and evaluate experiments to optimize products and enhance customer experience
• Monitor and analyze customer behavior across deposits, transactions, and other banking activities
• Deliver actionable insights to leadership on emerging trends and innovation opportunities
• Work with analytics and backend engineers to ensure accessible, accurate, and high-quality data
• Communicate findings and recommendations effectively to both technical and non-technical audiences
• Continuously improve data analysis processes and methodologies
• Uphold data integrity, accuracy, and governance across analytics pipelines
• Support production analytics and fraud response through participation in on-call rotations

Benefits

• Company equity
• Flexible vacation policy
• Commuter benefits
• Discretionary bonus program
• Medical, Dental & Vision- Strong proficiency in SQL and experience working with relational databases (e.g., Bigquery, Snowflake, Redshift, etc)
• Experience as a data analyst for 3+ years, ideally in B2C, financial services, or technology
• Experience with A/B testing and experimental design
• Proficient in utilizing data visualization tools like Tableau, Looker, or other similar platforms
• Working experience with Python for data analysis
• Ability to communicate complex data insights clearly and effectively to both technical and non-technical audiences
• Excellent analytical and problem-solving skills with a strong attention to detail
• Strong business acumen and the ability to translate business questions into data analysis plans
• Bachelor’s degree in a quantitative field such as Analytics, Statistics, Economics, Computer Science, or a related field
• Experience modeling data using dbt
• Familiarity with the fintech industry and banking products is a plus
• Familiarity with machine learning techniques and predictive analytics is a plus
• Experience building data pipelines in dbt
• Ability to thrive in a fast-paced, collaborative environment
• Exposure to dimensional modeling concepts to power meaningful analytics