Top Analysis Reporting Jobs in Pittsburgh, PA

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.

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.