Top Senior Data & Analytics Jobs in Dallas, TX

The Director of Pricing develops pricing strategies for Workers Compensation, enhances pricing models, and ensures compliance while collaborating across departments and leading a team.

Provide end-to-end Tealeaf support, analyze customer behavior and site issues to improve conversion, and identify key reporting events.

The role involves data modeling, architecture consultation, and using tools for data profiling, requiring strong analytical skills and communication with cross-functional teams.

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.

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 Engineer will optimize data infrastructure, modernize SQL processes, support data governance, and mentor team members while enhancing analytics capabilities.

The Process & Analytics Specialist will drive data-informed decision-making, identify operational trends, and lead process improvement initiatives across teams. Responsibilities include automation design, KPI development, advanced analytics, and cross-functional leadership to enhance operational excellence and performance outcomes.

The role requires a data analyst with expertise in SQL and Power BI to support healthcare reporting, ensuring accuracy and reliability in outputs, backed by strong governance and reconciliation practices.

The Product Owner collaborates with stakeholders and technology teams to prioritize data and analytics initiatives, ensuring effective delivery and representation of business needs.