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 technologyExperience with A/B testing and experimental designProficient in utilizing data visualization tools like Tableau, Looker, or other similar platformsWorking experience with Python for data analysisAbility to communicate complex data insights clearly and effectively to both technical and non-technical audiencesExcellent analytical and problem-solving skills with a strong attention to detailStrong business acumen and the ability to translate business questions into data analysis plansBachelor’s degree in a quantitative field such as Analytics, Statistics, Economics, Computer Science, or a related fieldExperience modeling data using dbtFamiliarity with the fintech industry and banking products is a plusFamiliarity with machine learning techniques and predictive analytics is a plusExperience building data pipelines in dbtAbility to thrive in a fast-paced, collaborative environmentExposure to dimensional modeling concepts to power meaningful analytics