Top Senior Data & Analytics Jobs in Pittsburgh, PA

Design, build, and maintain scalable data pipelines and ETL processes. Collaborate with stakeholders to gather requirements, optimize databases and queries for analytics, manage data integrations, ensure data quality, troubleshoot workflows, participate in code reviews, and mentor junior engineers while applying modern data technologies and cloud services.

Lead the development and implementation of data architecture strategies, mentor a team to deliver solutions, and collaborate with stakeholders to enhance resources while ensuring project success and quality outcomes.

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.

Serve as a consultative analytics partner applying SQL and visualization skills to analyze pharmacy and medical claims, build dashboards, synthesize multi-source data, inform engineering teams, support data governance, and deliver actionable insights to internal and external stakeholders.

Lead the Consumer Data Engineering Team, manage engineers, ensure alignment with business priorities, establish best practices, and deliver high-quality data products.

Lead a centralized Decisioning Analytics team to measure and optimize Pega-powered Next-Best-Action decisioning. Own measurement frameworks, ADM performance, transparency, governance, cross-functional partnerships, NBA analysis, roadmap, and team development to drive measurable customer and financial outcomes.

Design, build, and optimize data pipelines for analytics and ML. Collaborate with BI teams and improve data platform performance.

The role involves leading data delivery strategies, managing product ownership, automating workflows, overseeing data integration and transformation, and ensuring data governance within a financial services context.

The Senior Business Intelligence Analyst gathers and analyzes complex data to provide insights and support decision-making. Responsibilities include developing BI dashboards, collaborating with teams, performing data analysis, and mentoring junior analysts.

The Senior Data Governance Analyst manages data governance programs, ensuring data lineage, quality controls, and compliance with established standards while collaborating with technical and business teams.