Top Data & Analytics Jobs in Pittsburgh, PA

Manages commercial reporting, analytics tools, and insights using syndicated, retailer POS, shopper card, and internal data. Delivers business performance analyses, visual selling stories, and actionable recommendations for sales, marketing, brand, and customer strategy teams. Oversees reporting accuracy, user training, data-provider relationships, technology integration, and visualization capabilities while supporting growth initiatives involving assortment, pricing, promotion, shelving, and innovation.

Performs quality assurance on labeled autonomous-vehicle sensor data, identifies error trends and discrepancies, tests tools, mentors team members, provides feedback to labeling partners, creates clarification materials, and escalates quality concerns. The role requires sustained attention to large data volumes, clear bug and trend reporting, and collaboration with training and operations teams.

Supports Completions Services data workflows through SQL queries, Python scripts, data validation, cleanup, documentation, testing, and ad hoc requests. The intern gains exposure to Databricks SQL and notebooks, contributes to a defined summer project, and presents the results. The role is designed for students pursuing technical degrees and requires basic programming and SQL knowledge, strong problem-solving skills, teamwork, and eagerness to learn.

Develop reporting, analytics, metrics, and dashboards to optimize autonomous-vehicle data collection and software development processes. Partner with data scientists, software leaders, and cross-functional stakeholders to prioritize data sourcing, build scalable data pipelines, monitor operational processes, and communicate insights. The role uses on-road and simulation data to support Aurora Driver development and commercialization.

Analyze structured user and business data to identify trends, patterns, anomalies, and behavioral insights. Build and maintain dashboards, perform segmentation and cohort analysis, audit data quality, and produce clear reports for internal and client stakeholders. The role requires translating technical findings into actionable business strategies while collaborating with technical and non-technical teams.

Designs, develops, tests, maintains, and optimizes data pipelines and software systems using SQL, Python, and Apache Airflow. Supports technical projects, documents systems, troubleshoots application performance, evaluates user requirements, and develops technical specifications. Collaborates with epidemiologists, statisticians, and researchers, while mentoring staff and translating academic research needs into software solutions.

Lead architecture and vendor selection for RSM's Martech stack: optimize Adobe Customer Journey Analytics, select and implement a CDP, evaluate journey orchestration, define integration patterns, data model, identity resolution, governance, and activation across CRM, analytics, and marketing systems to enable ABM and personalized buyer journeys.

Leads Northwest Bank’s enterprise data governance program, including data policies, quality rules, lifecycle management, metadata, master data, stewardship, governance tooling, and remediation. Facilitates Data Working Groups, investigates root causes, manages governance metrics and reporting, demonstrates tools, documents processes, and supports training. Partners across a matrixed organization to ensure data assets meet standards, controls, regulatory requirements, and business needs.

Business Analyst serving as the bridge between business stakeholders and IT teams. Responsibilities include gathering requirements, documenting user stories, designing system enhancements, managing stakeholders, supporting ERP and CRM capabilities, developing training materials, coordinating testing, troubleshooting, monitoring system usage, and measuring process improvements, efficiency gains, and return on investment. The role supports technology-enabled outcomes across sales, service, parts, rental, finance, and HR functions.

As an Automation Engineer, you will design and build automation solutions, optimize processes, and collaborate with teams across the organization to develop streamlined, data-driven systems. Responsibilities include delivering workflows, performing testing, providing support, and identifying continuous improvement opportunities.