Senior Data Analyst, Payments & Fraud

🕒 February 28

Apply Now

Find Similar Remote Jobs

Set Up Email Alert For New Jobs

📊 Check your resume score for this job

Improve your chances of getting an interview by checking your resume score before you apply.

Upload Resume

Super.com

WebsiteLinkedInAll Job Openings

201 - 500 employees

Founded 2016

☁️ SaaS

💰 $60M Series C - Super.com on 2023-04

SaaS

Super.com is a web-based application/website; the only available content is a runtime message stating that JavaScript must be enabled to run the app, so no details about its products, services, or target market are available from the provided text.

📋 Description

• 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.

🎯 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.

🏖️ 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.