Top Senior Analysis Reporting Jobs in Pittsburgh, PA

As a Senior Data Analyst, you will develop data solutions, create database objects, optimize performance, and deliver insights via reports and dashboards, while collaborating with product teams.

Lead design and implementation of data architecture for healthcare systems, influence stakeholders, mentor teams, ensure regulatory compliance, enable data integration and transformation, and apply AI techniques to improve healthcare operations and reporting.

Lead market, client, and competitive intelligence for Global Payments & Trade to identify growth opportunities, support sales planning, and co-create solution-led narratives. Produce customized analytics and client-ready presentations, advise coverage leads on market dynamics and competitor approaches, and drive strategic opportunity development across FI, NBFI, and Corporate segments.

The Senior Manager will lead data analytics and pricing strategies in CAD, improving data processes, analytical workflows, and decision-making capabilities while managing a high-performing analytics team and collaborating with various stakeholders.

Lead a team delivering sales operations analytics, building scalable reports and data models, standardizing KPIs, driving data governance, partnering cross-functionally to improve productivity, financial visibility, and decision-making using SQL and Power BI.

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.

Drive digital growth for Mars Pet Nutrition on Walmart by optimizing digital shelf content, building dashboards and scorecards (Excel/PowerBI), performing deep-dive analyses with Walmart Scintilla and other data, and partnering on activation planning and measurement to improve discoverability, conversion, and sales.

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