Top Senior Level Data & Analytics Jobs in Dallas, TX
As a Data Architect, you'll design data-intensive applications in Azure, lead data architecture projects, mentor team members, and craft enterprise data strategies while implementing data governance and security measures.
The Supervision Analyst leads the daily review process for new business to ensure compliance with firm and regulatory guidelines, reviews financial plans, monitors trading alerts, and collaborates with supervision team members. Responsibilities also include communicating policies effectively and resolving deficiencies in submissions.
The Senior Technical Field Operations Analyst will drive operational strategies and efficiencies for pre and post sales processes, analyzing operational data and collaborating with cross-functional teams to enhance revenue operations. They will report to the Director of Technical Field Operations and partner with various teams to develop KPIs and support operational objectives.
The Director of Data Operations oversees the management of data resources and enhances processes within the data team. Responsibilities include ensuring uptime of applications, guiding data projects, driving improvements, and maintaining compliance with industry standards. The director collaborates with other departments for strategic planning and leads a team of data engineers while communicating project updates across the organization.
As a Senior Data Analytics Engineer, you will design and maintain ETL processes, ensure data accuracy, and provide actionable insights. You will work with various programming languages, optimize workflows, and collaborate with cross-functional teams to meet data requirements. Your role will also involve deploying solutions in a Kubernetes environment and performing advanced data analysis.
As a Senior Data Scientist, you will analyze large datasets, design analysis pipelines, and collaborate with engineers to convert clinical needs into technical solutions. You will lead the development of machine learning models and present findings to various stakeholders, contributing to the delivery of impactful digital health solutions.
The Principal Applied Scientist will lead the research and development of recommendation algorithms, focusing on model optimization and system scalability. They will mentor ML engineers, influence AI strategy, and collaborate with teams to enhance product innovation and customer experiences at Wizard.
The Sr. Manager, Data Integrity will lead the North America Data Integrity and Transaction Controls team, ensuring accuracy in customer reporting, billing, and data maintenance. This role involves developing a comprehensive data integrity program, optimizing team structure, implementing process changes, overseeing transaction controls, and mentoring staff while supporting global data integrity efforts.
The Data Analyst will analyze diverse datasets and machine learning model outputs, providing insights and visualizations. Responsibilities include collaborating with account managers, delivering reports, supporting the sales team, and ensuring project quality aligned with client objectives.
The Sr. Analyst, eCommerce manages the analysis of the eCommerce funnel and channel performance. This role involves generating performance reports, identifying opportunities for improvement, and monitoring key launches across the eCommerce team. The ideal candidate should have advanced Adobe Analytics experience and a proactive and curious mindset.
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