Top Analysis Reporting Jobs in Dallas, TX

The Senior Analyst will oversee client communications and document governance, ensuring regulatory compliance and monitoring operational workflows, while validating vendor outputs and enhancing control frameworks.

The Senior Tax Analyst will prepare and review tax returns, ensure compliance, conduct tax research, provide audit support, analyze financial statements, and improve tax processes in a corporate setting.

The Collibra Lead will define Data Governance Organization, develop a business glossary, lead workshops, ensure alignment with executive vision, and design technical architecture.

Lead the Data Governance Program, define organization and glossary, understand data landscape, conduct interviews, and synchronize timelines with teams.

As a Senior Systems Analyst for Workday Financials, you will design, configure, and support solutions to enhance financial processes, collaborating with stakeholders to ensure scalability and data integrity while adhering to SOX compliance.

Leads pricing analytics initiatives, develops strategies for risk-based pricing, collaborates with leaders, prioritizes analytics projects, and enhances customer experience.

The Data Operations Sr. Manager leads data operations by managing daily workflows, improving data quality, and collaborating with teams to deliver data solutions. Responsibilities include troubleshooting issues, automating processes, and coaching the operations team while ensuring compliance with healthcare data standards.

The Lead AWS Data Engineer designs and optimizes AWS data architectures and pipelines, analyzes datasets, collaborates with stakeholders, and provides technical leadership while focusing on performance tuning and automation.

The Data Quality Analyst ensures data integrity, accuracy, and consistency, conducts data audits, implements quality controls, and collaborates with stakeholders to improve data governance and reporting.

As a Senior Data Engineer, you will analyze business data, develop metrics, design scalable data pipelines, manage AWS resources, and collaborate across teams to optimize data systems.

The AI Data Specialist builds and maintains data pipelines, models, and integrations for AI systems, working closely with clients to ensure data quality and effective communication. They manage end-to-end data delivery for multiple projects in a fast-paced environment, translating complex problems into clear solutions.