Senior Data Analyst, Fraud
Employment Information
Job Description
Data Analyst at Super.com analyzing data to reduce earnings fraud. Collaborating with teams to build solutions and improve fraud detection measures.
Responsibilities:
- 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.
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