Business Analytics Manager at PNC

Setup: Hybrid
Location: Pittsburgh, Pennsylvania
Type: Full-time

Description

PNC is seeking a Business Analytics Manager to lead a team of analytics professionals focused on delivering enterprise reporting, dashboard development, and actionable business insights for technology leadership. The role involves overseeing data visualization, reporting solutions, and performance measurement frameworks to inform strategic decisions. Key responsibilities include leading and developing a team of 4-5 analysts, designing enterprise reporting solutions, partnering with business leaders to translate data into insights, and establishing reporting standards.

Required Skills

Tableau
SQL
Dashboard Development
Business Analytics
Data Extraction
Data Integration
Market Research
People Management
Performance Metrics
Qualitative Research
Strategic Planning
Structured Query Language (SQL)
Analytical Thinking
Decision Making and Critical Thinking
Effective Communications
Emerging Technologies
Organizational Savvy and Politics

Additional Information

Required Previous Experiences: Experience in business analytics, business intelligence, reporting, or data analytics roles.
Direct people leadership experience, including coaching, performance management, and team development.
Advanced experience with Tableau dashboard development and administration.
Strong proficiency in SQL for data extraction, transformation, and analysis.
Experience translating business requirements into reporting solutions, dashboards, and actionable insights.
Demonstrated ability to communicate analytical findings to senior leaders and non-technical stakeholders.
Strong problem-solving, organizational, and stakeholder management skills.
Preferred Qualifications: Experience with Tableau, Power BI and Microsoft analytics technologies.
Knowledge of Python, R, and/or other analytical programming languages.
Experience supporting enterprise technology organizations or technology leadership teams.
Background in data visualization best practices and dashboard design.
Experience working with large, complex datasets and multiple data sources.
Familiarity with data governance, KPI development, and performance measurement frameworks.