Top Data & Analytics Jobs

The Data Engineer Sr leads the development and implementation of data solutions across multiple applications, ensuring accuracy, scalability, and security, while consulting on data migration and preparation processes.

The Data Expert will manage information systems, conduct data analysis, advise counterparts on data integrity, and resolve integration issues while ensuring adherence to quality standards.

The Data Architect will design and optimize data warehouses, analyze business intelligence data, and lead integration efforts to ensure solutions meet quality standards.

The Fraud Model Analyst supports analytical tasks involving structured/unstructured data, develops algorithms using statistical techniques, and presents insights using visualization technologies.

As a Data Expert, you will translate business requests into analytics solutions, partnering with technology teams and deploying prototypes quickly. Responsibilities include responding to data requests, building analytics solutions, supporting credit decision-making, and leveraging AI and automation tools.

The Data Engineer will develop and implement ETL processes, design data architectures, work with data platforms, and ensure data solutions meet scalability and security needs. Responsibilities include mentoring junior engineers and collaborating with stakeholders to gather requirements and optimize data transformations.

As a Data Expert, you will define data strategy, build a data quality platform, develop rules, and improve data management across PNC's Technology organization.

The Data Engineer Senior role involves developing data solutions, leading analysis efforts, and designing data service infrastructures within financial services using various technologies.

The Business Systems Analyst Senior analyzes business requirements, improves business processes, engages stakeholders, and documents system constraints. They facilitate agile ceremonies and improve internal processes.

As an ETL/Informatica Architect, you will lead the design and development of enterprise data integration solutions, ensuring data accuracy, and collaborating with teams to align with architecture standards.