Senior Analyst

Job Title: Senior Analyst– Payments or Fraud Analytics Location: San Jose, CA (Hybrid)Duration: Full-time/Permanent role About the RoleWe are seeking a strong, hands-on Senior Analyst with deep experience in the payments space to join’s Analytics team in San Jose. This role will focus on driving insights and strategies across credit/debit card payments and fraud, partnering closely with product,risk, and business stakeholders.You will use your expertise in SQL, Tableau, and analytical problemsolving to identifytrends, diagnose issues, and recommend data-driven solutions that improve authorization rates, reduce fraud losses, and enhance customer experience.Key ResponsibilitiesAnalyze large-scale payments and fraud datasets (with a focus on credit/debit card transactions) to identify patterns, trends, and anomalies.Develop and track key performance metricsfor payments performance, fraud/risk, and customer experience.Build dashboards and reports in Tableau to provide clear,actionable insights to business and leadership teams.Partner with Product, Risk,Operations, and Engineering to define problems, size opportunities, and recommend data-driven strategies.Design and execute deep-dive analyses and A/B tests to evaluate the impact of product, policy, or strategy changes.Translate complexanalytical findings into clear narratives and recommendations for non-technical stakeholders.Support or collaborate on modeling, BI, or strategyinitiatives related to payments optimization and fraud mitigation.Ensure data quality,consistency, and properdocumentation of analytical work.Required Qualifications5+ years of total analytics experience in the payments space, ideally within card networks, issuers, acquirers, PSPs, or large fintechs.Strong domainexposure to credit/debit card payments; fraud/risk analytics experience strongly preferred.Advanced proficiency in SQL (complex joins, window functions, performance optimization).Strong hands-onexperience with Tableau(or similar BI tools) for dashboarding and data visualization.Proven track record in at least one of the following areas:Modelling (risk/fraud/propensity/segmentation)Business Intelligence / ReportingStrategy / Product AnalyticsDemonstrated abilityto structure ambiguousproblems, perform rigorousanalysis, and drive to clear recommendations.Strong communication skills with the ability to influence cross-functional stakeholders.Bachelor’s degree in a quantitative field (e.g., Statistics, Mathematics, Economics, Engineering, Computer Science) or equivalent practical experience.