Top Data & Analytics Jobs in Pittsburgh, PA

The Data Analyst will design and maintain Power BI solutions, transforming complex healthcare data into actionable insights, while supporting data structure development and communicating analysis findings to stakeholders.

The MDM Architect will lead technical architecture and design for Product Master Data Management, ensuring integration and delivery of data solutions across multiple platforms and teams.

As a Labeling Analyst, you'll perform QA work, mentor new team members, flag data discrepancies, and provide feedback on tooling deficiencies while contributing to automated driving tech development.

The role involves delivering business intelligence and strategic insights using data analysis to drive revenue and margins, requiring collaboration across teams and data integrity.

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

As an Automation Engineer, you will design and build automation solutions, optimize processes, and collaborate with teams across the organization to develop streamlined, data-driven systems. Responsibilities include delivering workflows, performing testing, providing support, and identifying continuous improvement opportunities.

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.

As a Digital Marketing Analyst, you will ensure accurate data collection and reporting, implement conversion tracking, and analyze data to provide actionable insights for clients.

The Data Privacy Specialist will oversee privacy compliance operations, support process improvements, and ensure data protection requirements are met across teams.

The Senior Manager, RevOps Analytics leads analytics for provider performance, focusing on strategic insights, operational efficiency, and team empowerment. Responsibilities include developing KPIs, enhancing analytics tools like Tableau, and collaborating with cross-functional teams to drive insights and improvements in provider engagement and operations.