Principal, Data Analyst Transaction Analytics, Payments

Position Summary...

What youll do...

• Own analytics strategy for Transaction Analytics establishing scalable measurement frameworks and KPIs.
• Drive experimentation strategy for new product features and experiences by designing intelligent valid experiments using an in-house platform.
• Lead complex data mining and exploratory analyses to identify risk patterns experience gaps and behavioral trends.
• Develop executive-ready dashboards and reporting solutions that provide actionable insights across Transactions cross-functional team.
• Partner cross-functionally with Product Business Strategy Design and Engineering teams to translate ambiguous business problems into structured analytical solutions.
• Contribute to and optimize lightweight ETL processes ensuring high data quality reliability and governance standards.
• Influence senior leaders through compelling storytelling grounded in data.
• Raise the analytical bar across the organization by mentoring analysts and defining best practices in data governance documentation and experimentation.

• 5 years of experience in analytics data science or business intelligence within complex high-scale environments.
• Advanced proficiency in Python (pandas numpy statistical modeling) and SQL for large-scale data manipulation.
• Strong expertise in data mining exploratory analysis and statistical thinking.
• Demonstrated experience building and scaling data visualization solutions (Tableau Looker etc.) for executive audiences.
• Strong best-practice knowledge of ETL processes and data pipeline fundamentals.
• Proven ability to translate complex datasets into strategic narratives that drive executive decisions.
• Experience influencing cross-functional teams without direct authority.
• Strong business acumen and comfort operating in ambiguity.

• Experience in ecommerce payments products and/or retail
• Background in credit and loan analytics and/or customer wallet and payment platforms
• Exposure to experimentation at scale
• Experience working in regulated or policy-driven environments.

• Think enterprise-first and connect analytics to broader business strategy.
• Operate as a subject matter expert in compliance analytics and earnings insights.
• Influence senior stakeholders through credibility clarity and data-driven conviction.
• Build scalable solutions rather than one-off analyses.
• Elevate team capability through mentorship and analytical rigor.
• Demonstrate intellectual curiosity ownership mindset and operational excellence.