Google Cloud Platform Analyst - Big Data - Banking/Financial Domain

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.