Top Data & Analytics Jobs in Pittsburgh, PA

Analyzes specialty-products markets, customer pricing, contracts, forecasts, and strategic performance metrics. Maintains pricing tools, supports growth action plans and business planning, manages agreements and nickel hedges, and prepares market and customer reports and presentations. Coordinates with field representatives, product managers, sales teams, and customers to support commercial activities and corporate reporting.

Analyzes Commercial Excellence initiatives and portfolio performance, building Power BI dashboards and reports to track progress, value realization, risks, dependencies, and outcomes. Identifies stalled or underperforming initiatives, recommends corrective actions, escalates barriers, and supports cross-functional planning and execution. Translates data into actionable insights for commercial decision-making and executive communication while coordinating with initiative owners, analysts, and business partners.

Designs and implements production-ready data models, data warehouses, pipelines, and ETL processes. Translates business requirements into actionable data architecture plans, applies dimensional and tabular modeling patterns, and establishes database and ETL best practices. Collaborates with business and technical teams throughout the data analytics lifecycle, works across SDLC environments, directs ETL development, and optimizes scheduling and performance using cloud platforms, Google BigQuery, SQL, and Power BI.

Designs, develops, and executes complex Informatica ETL workflows and enterprise data integration pipelines. Optimizes SQL and database performance, prepares data mappings and technical documentation, troubleshoots pipeline failures, reviews code and testing plans, and guides engineering peers. The role supports reliable data movement, data quality, security compliance, release management, and enterprise banking analytics initiatives.

Maintains Tower business data accuracy, completeness, governance, and consistency across systems. Creates reports, dashboards, and analytical solutions; investigates anomalies, resolves data quality issues, supports data governance policies and standards, maintains data catalogs, performs audits, and identifies process improvements. Partners with Assets, Supply Chain, Finance, IT, and other stakeholders to provide trusted reporting and support business decision-making.

Develop and maintain research databases and tracking systems for tenant representation business development. Analyze commercial real estate market activity, companies, properties, pipelines, and opportunities to identify trends and support strategic decisions. Provide market intelligence, respond to information requests, improve data organization and presentation methods, and recommend process enhancements. Collaborate with senior advisors and team members while building expertise in Pittsburgh’s office market.

Designs, develops, and governs enterprise ontologies and semantic models for knowledge graphs and AI applications. Translates scientific and business concepts into scalable knowledge structures, mappings, taxonomies, and controlled vocabularies. Establishes ontology quality, lifecycle, provenance, versioning, and change-management practices. Partners with scientific, product, data, AI, and engineering stakeholders to improve semantic search, content discovery, RAG, knowledge grounding, recommendations, and data interoperability.

Leads a small team responsible for enterprise data engineering, data warehousing, database administration, integrations, SharePoint, Nintex automation, Power BI enablement, governance, security, and operational reliability. The role owns Microsoft Fabric and EDW architecture, builds and supports ETL/ELT pipelines, manages platform roadmaps and vendors, applies AI-enabled automation, and partners with IT and business stakeholders to deliver trusted, secure, governed data services.

Develops and maintains Power BI reports, dashboards, semantic models, SQL datasets, and production reporting pipelines. Manages Azure Data Factory pipelines and Databricks notebooks, validates data accuracy, troubleshoots reporting issues, and supports scheduled client deliverables. Collaborates with software engineers, product owners, and account management in an Agile/Scrum environment. Documents BI practices, data definitions, and runbooks while applying dimensional modeling, DAX, Power Query, and AI-assisted development practices.

Build and operate scalable data infrastructure, including fault-tolerant pipelines, data discovery services, and data lineage systems. Develop backend services that process petabytes of data for machine learning and autonomy teams. Lead system design, code reviews, and technical contributions while using AWS cloud ETL technologies and distributed systems. Collaborate with stakeholders to improve platform adoption and address data customer needs.