Description

You will focus on data analysis and fraud detection within financial datasets.

This role is on-site.

Responsibilities

• Extract and analyze large datasets using SQL and PySpark.
• Build and maintain Tableau dashboards to present findings to management.
• Execute A/B testing and propensity modeling to support machine learning initiatives.
• Perform fraud analysis on financial data to identify patterns and risks.

Required Skills

• 5+ years of experience in data analysis or data science roles.
• Strong proficiency in SQL for complex data extraction.
• Hands-on experience with PySpark for distributed data processing.
• Experience building data visualizations and dashboards in Tableau.
• Knowledge of A/B testing methodologies and propensity modeling.
• Familiarity with Hadoop ecosystems.
• Background or knowledge in fraud detection and financial data domains.
• Bachelor's degree in any field.

Key Skills

Education

Any Graduate