At PNC, the business problem is to generate business insights from raw data and deliver the best experience for customers by designing, building, and maintaining the infrastructure that enables data collection, storage, and processing.
Requirements
- Analytical Thinking
- Data Analytics
- Data Mining
- Data Science
- Machine Learning
- Application Delivery Process
- Big Data Management and Analytics
- Business Intelligence
- Data Analysis - Software
- Data Architecture
- Database Structures
Responsibilities
- Building and Maintaining Data Infrastructure: Designing and implementing systems to move data from various sources to target systems, often involving ETL (Extract, Transform, Load) processes.
- Ensuring Data Quality and Accessibility: Identifying and correcting errors, inconsistencies, and inaccuracies in data.
- Collaboration and Communication: Collaborating with Data Scientists and Lines of Business users to understand their data needs and ensure data is in a usable format.
- Developing Data Analysis Tools: Creating tools and dashboards to help users explore and understand data.
- Monitoring and Troubleshooting: Identifying and resolving issues with data systems and pipelines.
- Designing and building data service infrastructure on multiple data platforms, according to key business processes and the overall workflow.
- Develops, supports and implements data services for multiple applications to meet business objectives and user requirements.
Other
- Customer Focused - Knowledgeable of the values and practices that align customer needs and satisfaction as primary considerations in all business decisions
- Managing Risk - Assessing and effectively managing all of the risks associated with their business objectives and activities
- Bachelors degree
- 3+ years of relevant / direct industry experience
- Roles at this level typically require a university / college degree
