Top Data & Analytics Jobs in Pittsburgh, PA

As a Staff Data Engineer, lead the technical roadmap for data infrastructure, manage complex data architectures, and mentor engineers while driving the organization's data platform innovations.

The Managing Consultant will lead project teams in Microsoft Fabric design, develop solutions, and maintain client relationships while ensuring quality and synergy across engagements.

The Senior Data Engineer at Unchained will design and implement data pipelines, integrate APIs, ensure data governance, and mentor team members while focusing on accuracy and security.

The Data Scientist will build analytics infrastructure, conduct analysis and modeling, and collaborate with teams to enhance data impact and insights. Responsibilities include exploratory analysis, model building, and maintaining datasets for student success and operational efficiency.

The Head of Data Products will lead data strategy, manage third-party data partnerships, oversee data quality, and coordinate with engineering teams to build data infrastructure.

The Data Manager will support partners by addressing data needs, managing issues, and implementing best practices for effective data use in civic engagement campaigns.

The Transaction Analyst supports lease acquisitions and dispositions by performing financial analyses, preparing documents, resolving issues, and assisting in reports and presentations.

The Business Systems Analyst will analyze commercial lending solutions within a SAFe environment, collaborating with product management and engineering teams to define and deliver business value through system specifications and user stories.

The Analyst role focuses on applying quantitative methods to financial topics within international arbitration. Candidates will engage in asset valuation, regulatory analyses, and economic damages, requiring strong analytical skills and teamwork. Knowledge of Spanish is a plus.

The Application Analyst 2 manages and maintains Power Platform solutions, provides training, optimizes performance, and collaborates with business units for automation opportunities.