Top Analysis Reporting Jobs in Pittsburgh, PA

Support settlement programs by answering client data questions, validating claimant data and calculations using SQL/Python, performing quality checks, documenting solutions, and collaborating with litigation, engineering, and product teams.

Senior data modeler/data architect responsible for master data management, data modeling and analysis in the financial domain. Must be hands-on with SQL, communicate well, and deliver on a 6-month contract. Phone interview.

Implement and maintain Hyperion Essbase solutions for analytics and reporting. Work with data warehousing teams to design, develop, and support OLAP cubes, data loads, and related ETL processes. Communicate with stakeholders to gather requirements and resolve issues.

Lead SAP master data processes for customer, vendor, and material domains. Ensure data integrity, governance, and compliance; define and enforce standards and KPIs; partner with cross-functional teams to resolve data issues and drive continuous improvement across global business processes.

The VP, Head of Policy & Data Operations manages data governance and operations for proxy voting policies, ensuring data integrity and operational excellence while collaborating across teams to optimize processes and manage risks.

Design, build, and maintain on-premises scalable data pipelines and processing systems. Own architecture and technical direction, mentor engineers, optimize workflows using Python, Spark and Hadoop (Hive, HDFS, Impala), manage job orchestration with CA7/Control-M, ensure data quality, troubleshoot production issues, and collaborate with stakeholders to support analytics and AI/ML initiatives.

Own the end-to-end data products for Supply Chain: define roadmap, translate stakeholder needs into technical user stories, design scalable data models, oversee ELT/ETL pipelines and BI analytics, ensure data quality/governance, and lead Agile delivery while enabling predictive analytics.

The Knowledge Engineer will develop and maintain ontologies and taxonomies, collaborate to create semantic models, and establish metadata standards for effective data usage in defense acquisition.

Analyze and report HEDIS and other healthcare data, maintain databases, develop performance reports and ad hoc analyses, identify anomalies, and translate business needs into decision-support tools.

The Sr. Data Engineer will design, implement, and optimize data solutions in Snowflake, collaborate with clients, and mentor junior engineers.