Senior Data Analyst (Payments & Fraud)

Super.com

1d • Remote

About The Position

Our data analysts are embedded team members, and work alongside PM’s, software engineers and designers in our mission aligned team (MAT) model. This allows our team members to gain deep experience and context into specific business problems and verticals to grow quickly to become subject matter experts. This position offers a dynamic and impactful opportunity to assume ownership of your work as you conduct in-depth analyses and productionize your work.
This role specifically will work with user and transaction-level data to proactively improve auth and payment rates, while reducing payments fraud and chargebacks. You’ll build and maintain payments monitoring dashboards, investigate suspicious activity, and collaborate with cross-functional stakeholders to develop, test, and improve our payments logic and infrastructure. You’ll communicate insights, and ensure data quality to improve the payments ecosystem.

Requirements

• 5+ years experience in data or analytics roles.
• Advanced level proficiency in SQL and Python for data analytics, including building production-ready queries, data models, and analytics workflows.
• Experience working with 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 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 priorities evolve quickly and decisions have meaningful financial impact.
• Comfortable working with messy, event-level product data across mobile and web, tracing end-to-end user journeys and debugging tracking or data quality issues with engineers.

Responsibilities

• Leverage complex datasets to generate actionable insights that influence payments & fraud strategy and drive business outcomes.
• Support development and testing of payment and fraud rules: help define objectives, use data to inform and optimize rules, analyze A/B tests, and measure impact on key metrics.
• Design, build, and maintain dashboards and reporting solutions to enable self-service analytics across the organization.
• Collaborate with product, engineering, marketing, finance, and other teams to scope analytical projects and deliver insights.
• Investigate anomalies and support root cause analysis for payment & fraud incidents.
• Communicate complex findings clearly and effectively through presentations, reports, and data storytelling tailored to various audiences.
• Advocate for data quality, governance, and best practices to ensure consistency, reliability, and security of data assets.
• Mentor junior analysts and interns and contribute to the growth of the broader analytics community within the organization.
• Participate in weekly payments syncs, sprint planning, and cross-team channels to stay aligned on priorities and incident response.
• Independently identify high-impact business problems and develop the right data-driven solutions.

Benefits

• Remote-First Flexibility: Work from anywhere in the world and choose the hours that suit you best. We trust you to get great work done on your terms.
• 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, annual bonus, retirement matching, and top-tier benefits packages.
• Investing in You: Access to wellness budgets, personal development funds, and team-level learning resources.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed