Top Data & Analytics 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.

The role involves leading data architecture initiatives, developing AI models, and collaborating with data scientists to optimize data solutions and drive strategic decision-making.

The PTPA Tax Technology Manager leads tax technology initiatives, mentoring team members, enhancing data transparency, and overseeing product lifecycle management to improve stakeholder experiences.

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.

The Senior Data Engineer designs and builds ETL/ELT data pipelines, collaborates with teams for data solutions, and optimizes data processes.

The Director, Quantitative Risk Management leads model development for financial products, oversees new product analysis, and ensures model compliance and performance monitoring while managing a team of engineers.

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

The Senior Data Engineer will architect and implement data pipelines, manage their performance, and partner with stakeholders to ensure data accessibility and quality. Responsibilities include assessing data sourcing needs and providing visibility into pipeline status.