Senior Fraud Data Analyst

About The Company

Super.com was founded with the mission to maximize lives—both those of our customers and our team members—by providing opportunities to experience all that life has to offer. We believe in creating a work environment where learning is celebrated, impact is recognized, and personal growth is prioritized. As a fast-growing, innovative technology company, we are committed to fostering a culture that values our people, supports career progression, and promotes a collaborative atmosphere. Our goal is to empower our employees to unlock their full potential through meaningful work, comprehensive programs, and a supportive community. At Super.com, we are dedicated not only to delivering exceptional services to our users but also to ensuring our team members thrive professionally and personally in a dynamic, inclusive environment.

About The Role

The Senior Data Analyst (Fraud) at Super.com plays a pivotal role in our efforts to detect and prevent earnings fraud. Embedded within our multidisciplinary team, you will work closely with product managers, software engineers, and designers in our mission-aligned team (MAT) model. This structure provides an immersive experience into vertical-specific business challenges, enabling you to develop deep expertise and deliver impactful insights. Your primary focus will be analyzing user and transaction-level data to identify patterns indicative of fraudulent activity, proactively mitigating financial losses, and safeguarding our platform's integrity. You will be responsible for building and maintaining fraud monitoring dashboards, investigating suspicious activities, and collaborating with cross-functional teams to develop, test, and refine fraud detection rules. Your insights will support incident response efforts, improve data quality, and inform strategic decisions, ensuring the safety of our users and the financial health of our platform.

Qualifications

• 5+ years of experience in data analysis, analytics, or related roles
• Experience in fraud, risk management, trust & safety, or credit/collections domains is a plus
• Advanced proficiency in SQL for data querying, modeling, and workflow automation
• Hands-on experience with modern data warehouse and transformation tools such as Snowflake and dbt
• Proficiency with BI and dashboarding tools like Looker, Amplitude, or Tableau
• Proven ability to handle complex datasets and derive actionable insights
• Strong problem-solving skills with the ability to scope ambiguous issues and develop data-driven solutions
• Excellent communication skills, capable of translating technical analysis into clear recommendations
• Experience working cross-functionally, prioritizing tasks, and managing stakeholder expectations
• Comfort working with event-level product data across web and mobile platforms, including tracing user journeys and debugging data issues
  
  

Responsibilities

• Analyze complex datasets to identify fraudulent behavior patterns and generate insights to reduce earnings fraud
• Build, maintain, and enhance dashboards and reporting solutions for fraud monitoring and self-serve analytics
• Collaborate with product, engineering, and operational teams to scope, prioritize, and execute analytics projects that influence product development and operational strategies
• Investigate anomalies and conduct root-cause analysis for fraud incidents, supporting incident response efforts
• Assist in the development, testing, and optimization of fraud detection rules using data insights and A/B testing methodologies
• Ensure data quality, governance, and best practices are upheld to maintain reliable and secure data assets
• Communicate complex findings effectively to both technical and non-technical stakeholders through written reports and presentations
• Participate in regular team meetings, sprint planning, and cross-team discussions to stay aligned on priorities and incident handling
• Identify high-impact business problems independently and develop innovative, data-driven solutions to address them
  
  

Benefits

• Remote-first work environment providing flexibility to work from anywhere in the world and set your own hours
• Unlimited PTO, company-wide recharge days, and annual team offsites to promote work-life balance
• Weekly UberEats credits and travel discounts through Super.com to enhance daily convenience and leisure
• Support for growing families, including generous parental leave and flexible return-to-work policies
• Competitive salary, equity options, and comprehensive benefits starting from day one
• Access to wellness budgets, personal development funds, and team-level learning resources to foster continuous growth
  
  

Equal Opportunity

Super.com is an equal opportunity employer. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability. We are committed to creating an inclusive environment where all candidates and employees are valued and respected. Accommodations are available upon request for candidates participating in the recruitment process. We also utilize AI technologies to support certain aspects of our hiring, ensuring efficiency, consistency, and fairness, with final decisions made by human evaluators.