Position Overview
At PNC, our people are our greatest differentiator and competitive advantage in the markets we serve. We are all united in delivering the best experience for our customers. We work together each day to foster an inclusive workplace culture where all of our employees feel respected, valued and have an opportunity to contribute to the company’s success. As a Business Analytics Consultant Senior within PNC's Retail Lending organization, you will be based in Pittsburgh, PA or Cleveland, OH.
We are seeking a Business Analytics Consultant Senior to join the Retail Lending Reporting and Analytics organization supporting one of the largest and most active analytics sites at PNC. Our team builds and maintains the end to end data pipeline that powers critical Tableau dashboards, a custom JavaScript/HTML reporting portal, and a broad suite of analytics used across Retail Lending business lines.
You will play a key role in advancing our data engineering and reporting capabilities, ensuring our analytics ecosystem is accurate, high performing, scalable, and strategically aligned with enterprise priorities.
Key Responsibilities
• Own, enhance, and maintain data pipelines powering Tableau data sources and Lending dashboards.
• Run, analyze, troubleshoot, and optimize complex SQL across MS SQL Server, Teradata, Oracle, Impala/Hadoop, and SharePoint.
• Use internal Python libraries to connect to databases and generate hyper extracts via the Tableau Hyper API.
• Work with version controlled SQL to maintain consistency across environments.
• Support Tableau Server data sources, extracts, permissions, and performance tuning.
• Develop and optimize Tableau data models, including relational and multi fact structures.
• Partner with business stakeholders to translate requirements into analytics solutions.
• Serve as SME for lending sales data, KPIs, and reporting structures.
Preferred Skills & Experience
• Expert SQL skills with ability to diagnose, optimize, and document complex queries.
• Strong experience with MS SQL Server, Teradata, Oracle, Hadoop/Impala, SharePoint.
• Python experience including database connectivity and extract automation.
• Tableau Desktop/Server experience including data modeling and performance best practices.
• Understanding of relational modeling, joins, and Tableau query gene