Senior Data Analytics Engineer

Job Summary

A company is looking for a Senior Data Analytics Engineer - Risk, Fraud, and Disputes.

Key Responsibilities

• Partner with cross-functional teams to translate business needs into data-driven solutions
• Lead the creation of labeled datasets for machine learning and fraud detection
• Create and maintain real-time dashboards and reporting for key KPIs across Fraud, Risk, and Disputes

Required Qualifications

• 5+ years of experience in data analytics, data science, or data engineering, preferably in fraud, risk, or financial services
• Advanced SQL skills with a strong understanding of analytical functions and ETL best practices
• Deep understanding of risk, fraud signals, and disputes domain
• Experience with data visualization tools (e.g., Looker, Tableau)
• Familiarity with Airflow, dbt, or equivalent ETL/ELT tooling