Top Senior Analysis Reporting Jobs in Dallas, TX

The Analytics Manager will lead analytics for the Payments and Identity lifecycle, manage a team of analysts, develop KPIs, and ensure data quality while collaborating with cross-functional teams.

The Senior Data Analyst will analyze concrete plant performance using Batch AI, identifying inefficiencies and translating findings into insights for product improvement.

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

As a Senior Data Steward Manager, you'll oversee data management and governance, ensure data quality, and work with cross-functional teams to meet data standards.

The Senior Manager, Data Engineering will lead a team focused on enterprise data strategy, data quality, and managing data platforms. Responsibilities include strategic architecture, technical leadership, and mentoring engineers for effective data governance and integration across the organization.

Lead the Enterprise Platform Data Engineering team, overseeing data platform strategy, technical leadership, and team development to enhance data governance and quality across the organization.

The Data Modeler designs and maintains data models and structures, translating business needs into effective data frameworks, while ensuring data governance and supporting AI/ML initiatives.

The Procurement Data Analyst will support the Procurement Team by transforming procurement data into insights for cost savings and supplier performance improvements. Responsibilities include data analysis, dashboard creation, spend analysis, and support for procurement processes and operational improvements.

Manage timely and accurate statistical and financial reporting for commercial insurance, ensuring compliance with regulations and leading a team.

The Program Director of Data & Analytics at Prologis will lead teams in transforming data through AI, overseeing budgets, resource allocation, and ensuring effective use of analytics tools while driving adoption and continuous improvement across data initiatives.