Senior Data Analyst (Fraud)
Core
Own risk & fraud problem domain end-to-end, framing ambiguous problems and delivering analytical solutions that drive measurable improvements in cost, efficiency, service performance and customer experience.
Role type
Senior IC data analyst (risk & fraud)
Builds
Data products and analytical tools for risk and fraud infrastructure
Domain
Food delivery / Quick commerce / Risk & Fraud
Deliverable
production ML models | dashboards & analysis
Required skills
SQL, Python, causal inference, experimentation design, statistical modeling, simulation, optimization, outlier detection, problem structuring
Preferred skills
Experience with Google Cloud ecosystem (BigQuery, Vertex AI), agentic AI workflows, NoSQL or distributed data systems
Technologies
SQL, Python, BigQuery, Vertex AI, Google Colab, Google Sheets, NoSQL, distributed data systems
Responsibilities
Design and analyze experiments (cluster, switchback, A/B) to determine causal impact; Build and scale data products and analytical tools; Drive exploratory and root cause analyses to identify performance drivers; Collaborate with data and engineering teams on data modeling and metric definitions; Mentor junior analysts; Shape problem statements and co-develop data-driven solutions for high-impact risk and fraud challenges
Seniority
Senior, hands-on IC