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Senior Analyst

Job

ALOIS Solutions

Remote

Full-Time

Posted 4 days ago (Updated 2 days ago) • Actively hiring

Expires 6/25/2026

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Job Description

Senior Analyst at ALOIS Solutions Senior Analyst at ALOIS Solutions in San Jose, California Posted in about 21 hours ago.
Type:
full-time
Job Description:
Job Title:
Senior Analyst- Payments or Fraud Analytics Location:
San Jose, CA (Hybrid)
Duration:
Full-time/Permanent role About the Role We 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 Responsibilities Analyze 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 Qualifications 5+ 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 / Reporting Strategy / Product Analytics Demonstrated 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.