Senior Data Analyst, Fraud

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Super.com

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eCommerce • Travel

Super. com is a platform offering significant savings on travel accommodations. By partnering directly with hotels and travel companies, Super. com is able to provide customers with up to 50% off their rates at over 500,000 hotels worldwide. It also offers users a means to manage trips through its app and a rewards system called Super Pay, which gives cashback and credits on bookings. Super. com aims to make travel more affordable and accessible, with a focus on providing exceptional customer service and easy booking processes.

201 - 500 employees

🛍️ eCommerce

💰 $25M Debt Financing on 2023-04

📋 Description

• Analyzing complex datasets to identify patterns of fraudulent behavior and generate actionable insights that reduce earnings fraud • Designing, building, and maintaining dashboards and reporting solutions for fraud monitoring and self-serve analytics • Collaborating with cross-functional teams (Product, Engineering, Fraud Ops) to scope, prioritize, and deliver analytics projects that inform fraud rules, product roadmap, and operational decisions • Investigating anomalies and support root cause analysis for fraud incidents • Supporting the fraud rules development, testing, and maintenance: define objectives, backtest and validate rules, analyze A/B tests, and measure impact on key metrics • Ensuring the quality, integrity, and reliability of all fraud-related data, and advocate for strong data governance and best practices across teams • Communicating findings clearly to technical and non-technical stakeholders through presentations, reports, and data storytelling and document processes and results • Participating in daily and weekly fraud syncs, sprint planning, and cross-team channels to stay aligned on priorities and incident response • Autonomously identifying business challenges that have impactful data solutions and build the right solution to the problem

🎯 Requirements

• 5+ years of experience in data or analytics roles. Bonus points if part of that time was spent in fraud, risk, trust & safety, or credit/collections domains • Advanced proficiency in SQL for data analysis, including building robust, production-ready queries, data models, and analytical workflows • Experience working with large, complex datasets in modern data warehouse and transformation tools (e.g., Snowflake, dbt) and at least one BI/dashboarding tool (e.g., Looker, Amplitude, Tableau) • Proven track record of owning ambiguous problem spaces end-to-end: scoping questions, defining clear success metrics, validating data quality, and iterating based on stakeholder feedback • Excellent communication and data storytelling skills, able to translate complex analysis into clear, actionable recommendations for both technical and non-technical audiences • Demonstrated ability to partner cross-functionally with Product, Engineering, Fraud Operations, and Finance, including prioritizing competing requests and aligning stakeholders on next steps and trade-offs • High degree of ownership and urgency, comfortable working in a fast-paced environment where fraud patterns evolve quickly and decisions have meaningful financial impact.

🏖️ Benefits

• Remote-First Flexibility: Work from anywhere in the world and choose the hours that suit you best. • Time to Recharge: Enjoy unlimited PTO, company-wide recharge days, and annual team offsites. • Everyday Perks: Weekly UberEats credits and travel discounts on Super.com help you enjoy the little things. • Family-Friendly Benefits: We support growing families with generous parental leave and a flexible return-to-work plan. • Comprehensive Compensation: Competitive salary, equity options, and top-tier benefits starting on day one. • Investing in You: Access to wellness budgets, personal development funds, and team-level learning resources.