Top Data & Analytics Jobs in Pittsburgh, PA

The Manufacturing Analytics Engineer will manage the analytics pipeline, transforming operational data from OT systems into actionable insights for decision-making, while collaborating with Engineering, IT, and Operations.

Lead end-to-end BI projects: translate business questions into data requirements, build executive client-facing Tableau dashboards, analyze multi-source marketing data, ensure data integrity, and present actionable insights to stakeholders in a fast-paced agency environment.

Design and implement credit strategies using data, machine learning, A/B testing and advanced analytics to optimize underwriting, pricing, and credit line decisions. Lead end-to-end analytics for credit card products, monitor portfolio performance, conduct root-cause analysis, partner cross-functionally, and communicate findings to stakeholders.

Own strategy, governance, and operations for GTM data in Salesforce. Lead data enrichment, vendor management, data movement architecture, observability, quality standards, deduplication, and lifecycle policies. Provide user support, analyze issues with SQL/SOQL, and coordinate with Data Engineering and GTM teams to ensure CRM is single source of truth.

The Data Architect will design and implement data architecture solutions using Azure Databricks, focus on data quality, and collaborate with product teams on data projects.

Lead analytics strategy and measurement for client accounts: define learning agendas, run complex analyses and predictive models, surface actionable insights, present to senior clients, and coordinate cross-functional teams to optimize media performance and ROI.

The Associate Director leads the Global Records and Information Management team, optimizing governance practices, managing projects, and developing relationships across various stakeholders, while ensuring regulatory compliance and strategic implementation.

Design, develop, and maintain enterprise Power BI dashboards and reports. Integrate data from SQL Server, Azure, Excel and other sources, perform data modeling and DAX calculations, validate data, and document data models and reporting logic while partnering with business stakeholders.

Lead Finance BI transformation by building a governed Snowflake/dbt semantic layer, standardizing KPIs, certifying reusable datasets, consolidating dashboards, implementing data quality, and optimizing Snowflake and Power BI performance to enable reporting, APIs, AI/ML, and automation.

Lead design and delivery of advanced reports and dashboards for Customer Success leadership. Collaborate with data engineering and product teams to ensure data integrity, automate reporting, and present actionable insights that measure AI impact on hospital performance and revenue.