Data Analyst, Current

• 3+ years of experience in data analytics, preferably in the fintech or banking industry
• Strong proficiency in SQL, Python, or R for data analysis and manipulation
• Experience building reports and dashboards using data visualization tools such as Tableau, Looker, or Power BI
• Ability to visualize data effectively and communicate insights clearly and concisely
• Experience in design of experiments
• Exceptional written and oral communication skills. You drive consensus through grounded arguments, interpersonal skills, and negotiation skills
• Creative problem-solver - able to identify obstacles and present viable solutions
• Thrive when working in a fast-moving, ambiguous environment

Desirable

• We’re looking for a Data Analyst to join our Risk team
• In this role, you’ll work on stopping fraud while enabling growth in domains such as account onboarding, account takeover, transaction risk, and merchant fraud
• You will use advanced analytics to find trends, evaluate performance, and drive new solutions to market, partnering closely with product and engineering teams
• If you have a passion for solving tough, dynamic problems with data - this is the role for you!
• Analyze Risk data to identify trends, pain points, and opportunities for loss mitigation, cost savings, or revenue/experience enablement
• Develop and maintain data pipelines, dashboards and reports to track key performance indicators (KPIs) in risk domains
• Conduct exploratory analysis, develop business cases, design experiments, conduct performance forecasting and monitoring, and develop and monitor models
• Partner with cross-functional teams including Risk Strategy, Product, and Engineering to deliver new solutions to market and ensure intent matches execution
• Design and evaluate experiments to optimize existing and launch new products, risk rules, and policies
• Provide actionable insights to leadership on new fraud trends and areas for innovation
• Ensure data integrity, accuracy, and governance in analytics pipelines across multiple fraud domains
• Participate in on-call rotation to support production analytics data pipelines and fraud incident response
• Contribute to a data-driven, collaborative, and creative culture within the team