Top Senior Data & Analytics Jobs in Pittsburgh, PA

Leads enterprise information lifecycle governance for unstructured data, developing automated retention and disposition strategies across SharePoint and Microsoft 365. Partners with Legal, Compliance, Risk, Technology, and business stakeholders to configure retention, legal hold, and regulatory controls. Translates retention schedules into operational configurations, monitors automation effectiveness, resolves exceptions, and prepares executive reporting. The role also evaluates AI-enabled tools and supports scalable data governance practices.

Analyze complex datasets, develop data models, dashboards, and visualizations, and conduct predictive and statistical analysis for client decision-making. Collaborate with clients to deliver tailored analytics solutions, maintain data integrity, communicate insights through reports and presentations, and support data-driven operational strategies using SAS, Power BI, Tableau, and SQL tools.

Leads enterprise data transfer and integration processes, develops data quality frameworks, and ensures compliance with governance and regulatory standards. Partners with cross-functional stakeholders to address integration needs, monitors data movement, analyzes complex datasets, and improves operational efficiency. The role also drives adoption of innovative data technologies, maintains documentation, and trains stakeholders while supporting data-driven decision-making and strategic business initiatives.

Lead pricing analytics and processes across commercial, product, marketing, and pricing teams. Analyze large datasets to evaluate pricing and promotion effectiveness, customer acquisition and retention, win/loss performance, and growth opportunities. Develop automated analytics, visualizations, pricing tools, predictive models, and decision-support insights. Perform ad hoc analysis of customer, product, and market dynamics while identifying process gaps and improvement opportunities.

Leads advanced safety research and quantitative data analytics using proprietary autonomous vehicle data and public safety datasets. Develops risk models, probabilistic analyses, statistical studies, and safety frameworks; communicates findings to leadership, regulators, industry forums, and cross-functional partners. Provides technical leadership and mentorship while shaping safety strategy, program execution, and external communications.

The Technical Business Analyst will facilitate workshops, document requirements, manage project scope, and produce clear artifacts for client deliverables across data platform workstreams.

Lead and grow customer analytics practice for Communications, Media & Technology clients. Define strategy, build thought leadership, and deliver large-scale analytics and CRM engagements using predictive analytics and CRM modeling to drive reporting and insights.

Lead a team that manages master and client data operations, driving data quality, process improvements, automation, backlog and project execution, performance metrics, and cross-functional coordination to ensure timely, accurate data delivery and operational scalability.

Lead product and commercial analytics for Product Management: build and maintain forecasting, revenue/margin, backlog and market models; create dashboards and recurring reports; improve data integrity and reporting automation; perform market, competitive, and scenario analysis; partner cross-functionally to translate analysis into executive recommendations; incorporate AI-enabled automation to improve reporting and analytical workflows.

Design, develop, maintain, and execute complex financial models for loss forecasting, stress testing, pricing, originations/collections, and portfolio optimization. Use Python or R (and SQL/SAS/other languages) for data processing and model development, build Power BI analytics, collaborate with business partners and regulators, support model validation/audits, research industry/academic methods, and develop data environments to support quantitative activities.