onsite
Advanced Analytics Manager
Software Engineer
Lead advanced analytics initiatives, designing data models and fraud detection systems on AWS using Python to drive business decisions and protect revenue streams.
About the role
Key Responsibilities
- Architect and maintain scalable data models on AWS to support real‑time fraud detection and decisioning workflows.
- Develop and optimize Python‑based analytics pipelines, ensuring high performance and reliability.
- Collaborate with cross‑functional teams to translate business requirements into analytical solutions.
- Lead the evaluation and implementation of new analytics tools and techniques to enhance predictive accuracy.
- Mentor junior analysts and promote best practices in data governance and model validation.
Requirements
- Proven experience with AWS services (Redshift, Glue, SageMaker, Lambda) for data engineering and analytics.
- Strong Python programming skills, including libraries such as Pandas, NumPy, and Scikit‑learn.
- Deep understanding of data modeling, statistical analysis, and fraud detection methodologies.
- Excellent problem‑solving abilities and a track record of delivering actionable insights.
- Effective communication skills to present complex findings to non‑technical stakeholders.