Data Analyst - Python/PySpark

Data Analyst Python, PySpark, SQL (Banking/Financial Services)Professional Summary :

Experienced Data Analyst with strong expertise in Python, PySpark, and SQL, specializing in data analysis, ETL development, and reporting within the Banking and Financial Services domain. Skilled in analyzing large-scale datasets, building data pipelines, creating dashboards, and delivering actionable insights to support business and regulatory requirements. Experienced working with cross-functional teams in Agile environments and ensuring data quality, governance, and compliance.

Key Responsibilities :

• Develop and optimize SQL queries for large financial datasets.

• Build ETL pipelines using Python and PySpark.

• Analyze customer, transaction, and operational data to identify business insights.

• Create dashboards and reports using Power BI/Tableau.

• Perform data validation, cleansing, and quality checks.

• Collaborate with business stakeholders to gather reporting requirements.

• Optimize Spark jobs for improved performance.

• Support regulatory and compliance reporting initiatives.

• Work with data warehouses and distributed data processing frameworks.

Preferred Qualifications :

• 7+ years of experience in Data Analytics.

• Strong SQL and Python programming skills.

• Hands-on experience with PySpark and Spark DataFrames.

• Experience in Banking, Financial Services, or FinTech.

• Knowledge of data warehousing concepts.

• Familiarity with cloud platforms (Azure/AWS) is an advantage.