Top Senior Analysis Reporting Jobs in Dallas, TX

Lead data engineering projects, develop and implement data pipelines and architecture strategies, manage data quality, and mentor team members at PwC.

As a Manager in Managed Services, you'll lead data ecosystems projects, mentor juniors, manage client accounts, and deliver data strategies to optimize operations and drive insights for clients.

Lead development of data strategies to support business growth, advising on large projects and driving operational excellence while fostering high-performing teams.

The role involves facilitating workshops, supporting testing, data validation, and troubleshooting MDG MM issues while ensuring data quality across business processes.

The Senior Manager, Data Engineering oversees data engineering efforts, focusing on intelligent foundations and experiences. They are responsible for leading teams and optimizing data solutions.

The role involves managing data governance projects, analyzing complex data sets, and leading cross-functional teams to derive insights using various analytical tools.

The Director, Research - Power Markets is responsible for leading the QA/QC process for long-term forecasting, advising leadership, and ensuring market insights are effectively integrated into forecasts.

Design and implement MDM solutions, analyze business and data requirements, create technical specifications, ensure code quality, and offer technical guidance on data management.

Lead the data strategy and oversee project execution for data management, integration, and governance while collaborating with stakeholders and cross-functional teams.

The Associate Principal, Business Analysis role involves analyzing information, developing user stories, facilitating agile practices, and collaborating with teams to ensure effective business analysis.

As a Senior Data Engineer, develop and maintain scalable data pipelines on Azure, enhance data models, and ensure data quality and integrity. Collaborate on data-driven decision-making and utilize advanced technologies like Azure Databricks, Apache Spark, and CI/CD tools.

The Chief Data Officer will lead the enterprise-wide data strategy, ensuring data quality and governance while driving AI initiatives and business value.