Top Senior Analysis Reporting Jobs in Pittsburgh, PA

Design and optimize scalable data warehouse and ETL architectures to support BI applications. Capture business requirements, recommend warehouse growth and integration, provide technical guidance, and lead implementation to meet quality and data integrity standards.

Design and build data infrastructure, pipelines, and integration solutions using cloud and big-data tools. Develop data lakes/warehouses, ensure data quality and security, apply data modeling and DAGs, use Databricks, Airflow, and Hadoop, and collaborate with clients to deliver actionable insights.

Lead development and implementation of data governance strategies for the Markets Data Office. Collaborate with cross-functional teams to ensure data quality and integrity, design and enforce governance policies and standards aligned with regulatory frameworks, and drive continuous improvement and innovation in data management.

Lead Salesforce administration, configuration, and large-scale CRM projects. Gather cross-functional requirements, design scalable Salesforce solutions, build reports/dashboards, enforce data governance and SOX compliance, improve sales forecasting and pipeline visibility, and drive adoption through training and stakeholder influence.

Lead governance, standardization, and quality of enterprise location master data. Analyze data flows, perform root cause analysis, define KPIs, drive data quality initiatives, document processes, and support stakeholder training to improve reporting and operational decision-making.

Own and improve deposit data quality across DDA, savings, money market, and CD products. Design and run first-line controls, identify and remediate root causes, support regulatory reporting and exams, maintain governance documentation and KPIs, and partner with operations, technology, and product teams to implement durable fixes and scale controls.

Design and develop with Markit EDM tool, working on OLTP and data warehousing environments, and integrate business requirements into architecture.

The Data Architect will design and implement scalable data architectures and ETL frameworks on GCP, collaborating with business stakeholders to deliver actionable insights and ensuring data governance and security.

The SAP Business Analyst will gather requirements, define RTR needs, lead workshops, and support SAP S/4HANA implementation with a focus on the CO module.

Lead development of large-scale data analysis and validation workflows for autonomous driving ML. Design metrics, build datasets, run statistical error and regression analyses, collaborate with ML and software teams, and maintain AWS/Kubernetes orchestration for large-scale evaluation.