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.