Senior Data Analyst (Fraud)
Tasks
- Build and scale data products and analytics tools
- Collaborate with data and engineering teams on data modeling and metrics
- Communicate insights and recommendations to stakeholders
- Conduct exploratory and root-cause analyses
- Design and analyze experiments for causal impact
- Detect risk and fraud issues with advanced analytics
- Frame ambiguous problems and deliver analytical solutions
- Own risk and fraud analytics domain end to end
Perks/Benefits
Skills/Tech-stack
A/B | A/B Testing | B testing | BigQuery | Causal Inference | Data Modeling | Data Systems | Difference-in-differences | Distributed data | Distributed data systems | Google Colab | Google Sheets | Metric Definitions | NoSQL | Optimization | Outlier Detection | Python | SQL | Simulation | Statistical modeling | Synthetic control | Vertex AI
Education
Associate Degree | Bachelor of Engineering | Bachelor of Science | PhD
Roles
Regions
Countries
States
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