Top Analysis Reporting Jobs in Pittsburgh, PA

The role involves leading Quote-to-Revenue processes, mentoring junior team members, and ensuring quality deliverables in finance systems and billing operations.

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.

Design, build and orchestrate Azure/Databricks data pipelines to ingest, transform, and load data into Enterprise Data Lake/Delta Lake and Synapse. Perform unit/integration testing, create HLD/DD/runbooks, configure compute, implement data quality rules, and optimize pipeline performance.

The VP, Head of Policy & Data Operations manages data governance and operations for proxy voting policies, ensuring data integrity and operational excellence while collaborating across teams to optimize processes and manage risks.

The analyst supports the development of digital solutions, analyzes product performance, enhances digital channels, and contributes to compliance and quality efforts.

Design, build, and maintain scalable data infrastructure and ETL/ELT pipelines in cloud environments. Collaborate with data scientists and engineers to enable ML model development and feed software products. Translate stakeholder requirements, manage prototype-to-production transitions, and recommend new data technologies. Provide ad hoc engineering, POC development, and data analysis support.

Lead design and implementation of data transfer strategies and operational data architecture. Develop and enforce data quality standards, collaborate with cross-functional teams to resolve data issues, monitor transfer activities for process improvements, and provide data-driven insights to support operations decision-making.

The Knowledge Engineer will develop and maintain ontologies and taxonomies, collaborate to create semantic models, and establish metadata standards for effective data usage in defense acquisition.

The Senior Scientist leads consumer experience research, guiding product and packaging development, ensuring clear consumer insights translate into actionable recommendations. Responsibilities include managing research projects, collaborating across functions, and ensuring compliance with data integrity.

This role supports data initiatives at Carnegie Mellon University by developing data products, optimizing data pipelines, and ensuring data quality while collaborating with various teams.