Related skills
looker etl sql python tableau📋 Description
- Design and develop scalable data assets for fraud, disputes, and regulatory reporting.
- Bridge data engineering with analytics to enable ML-driven insights and labeled data.
- Lead creation of high-quality labeled datasets for ML and fraud detection.
- Collaborate with ML and Backend teams to productionize data assets and decisioning systems.
- Analyze large-scale transactional fraud and chargeback data to surface trends and anomalies.
- Build real-time dashboards for KPIs across Risk, Fraud and Disputes for leadership.
🎯 Requirements
- 5+ years in data analytics, data science, or data engineering in payments.
- Expert in SQL, analytics funcs, performance tuning, ETL.
- Domain expertise in risk, fraud signals, disputes datasets.
- Strong analytical intuition turning questions into structured analyses.
- Proficient with Looker and Tableau for dashboards.
- Proficient with Airflow and dbt for ELT/ETL pipelines.
🎁 Benefits
- Health insurance options
- Flexible time off
- Retirement savings with company contributions
- Equity and Employee Stock Purchase Program
- Parental leave and family-forming benefits
- Remote work stipend and development dollars
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