Top Data & Analytics Jobs in Dallas, TX

The role focuses on developing data-driven strategies to identify risks and support growth in a banking context, involving complex analytics and stakeholder engagement.

As a Lead Data Engineer, lead development in actionable technical solutions within Agile teams, utilizing expertise in programming, big data tech, and cloud-based data services.

The Senior Lead Data Engineer will drive major technological transformations, lead development teams, and design innovative data solutions while utilizing cloud services and big data technologies.

The Senior Data Engineer will modernize financial data platforms, build ETL/ELT pipelines, collaborate with stakeholders, and enhance data governance, while leveraging cloud technologies.

As a Senior Associate in Data Engineering at PwC, you will design and implement data architecture strategies, analyze complex issues, mentor junior members, and build client relationships while ensuring adherence to project standards.

The Manager of Power Markets will analyze wholesale power markets, enhance forecasting capabilities, and guide teams in market modeling and client interactions.

Designs data models, creates reusable schemas, maintains data dictionaries, and translates business requirements into technical specifications to enhance data governance.

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.

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.

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