Bachelor’s degree in a quantitative field (e.g., Statistics, Computer Science, Economics, Mathematics) or equivalent practical experience.
7 years of experience in data analytics, business intelligence, or a related analytical role.
7 years of experience managing projects and defining project scope, goals, and deliverables.
Experience with SQL for querying datasets and a programming language such as Python or R for statistical analysis.
Experience creating and presenting data-driven narratives to technical and non-technical audiences.
Preferred qualifications:
Master's degree in a quantitative discipline.
Experience working in a Trust & Safety, anti-abuse, risk management, or customer experience analytics role.
Experience with data visualization tools to build dashboards and reports that influence decision-making, analyzing the customer journey, and identifying key pain points.
Experience with enterprise or B2B customer environments and understanding the unique challenges faced by different industries.
Familiarity with applying machine learning or AI techniques to analytics and insight generation.
Excellent communication and stakeholder management skills, with the ability to influence cross-functional partners and senior leadership.