
GCP Analyst
6 days ago
Role & responsibilities
- Work closely with business stakeholders in the banking domain to gather requirements and translate them into analytical solutions.
- Perform advanced data analysis, data mining, and reporting using Python, SAS, and GCP BigQuery.
- Build and optimize analytical models for risk, credit, fraud detection, customer segmentation, and other banking-related use cases.
- Develop dashboards, MIS reports, and insights to support business decisions.
- Ensure data quality, validation, and governance across multiple sources.
- Collaborate with cross-functional teams (Business, Technology, Data Science) to deliver end-to-end solutions.
- Present findings and actionable insights to stakeholders in a clear, concise manner.
Preferred candidate profile
- Hands-on experience in analytics roles (Banking/Financial Services domain mandatory).
- Strong expertise in Python (pandas, NumPy, scikit-learn, visualization libraries).
- Proficiency in Google Cloud Platform (GCP) with deep working knowledge of BigQuery.
- Hands-on experience with SAS for analytics, reporting, or modeling.
- Strong SQL skills for querying large datasets.
- Experience with Pig or Hive for data processing.
- Understanding of banking processes risk management, credit, fraud, customer lifecycle, regulatory reporting, etc.
- Strong problem-solving and analytical thinking ability.
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