Data Visualization _Python /Pyspark/SQL/SAS

• End-to-end development and delivery of MIS reports and dashboards supporting credit card and lending portfolio acquisition, early engagement, existing customer management, rewards, retention and attrition.
• Partner with business stakeholders to understand requirements and deliver actionable insights through automated reporting solutions.
• Maintain and optimize existing SAS-based reporting processes while leading the migration to Python/PySpark on Big Data platforms.
• Design and build interactive dashboards in Tableau for senior leadership and regulatory reporting.
• Build and implement an automated audit framework to ensure data accuracy, completeness and consistency across the entire reporting life cycle.
• Collaborate with Data Engineering and IT teams to leverage data lakes and enterprise data platforms.
• Mentor junior analysts and contribute to knowledge sharing across teams.
• Support ad-hoc analysis and audits with quick turnaround and attention to data integrity.

Qualifications:

Experience in MIS reporting, data analytics, or BI in the Banking/Financial Services, with a strong focus on Credit Cards.

Proficiency in SAS for data extraction, manipulation, and automation.

Advanced skills in Python and PySpark, particularly in big data environments (e.g., Hadoop, Hive, Databricks).

Expertise in Tableau for dashboard design and data storytelling.