Top Senior Level Data & Analytics Jobs in Dallas, TX

As a Senior Risk Data Analyst, you'll build dashboards and analyze data sets using SQL and Python, collaborating with Risk, Compliance, and Legal teams to develop reports. You'll enhance data insights, communicate technical concepts to stakeholders, and focus on risk metrics and business requirements.

Empower seeks an experienced analytics leader to oversee Credit and Data Science functions for international markets in Latin America and South East Asia. The role includes developing risk models, launching innovative products, and understanding consumer behaviors to drive business growth and improve customer financial well-being.

The Director of Analyst Relations will lead BlackLine's program to influence analysts and enhance the company's ratings in industry studies. This role involves relationship management with key analysts, project management of research submissions, and content creation, ensuring alignment with BlackLine’s strategic vision in finance and accounting.

The Marketing Technology Data Engineer will design and build data solutions for managing and integrating real-time and batch data, focusing on data quality and availability for enterprise clients. The role involves developing data pipelines, implementing CI/CD processes, and collaborating with teams to meet client needs while leveraging Google Cloud services.

The Director, Data Integration will oversee claims data integration, ensuring accurate and timely data integration across systems. This role involves leading a team of data engineers, shaping data strategy, engaging in product development, and collaborating closely with clients to drive successful data initiatives.

The Senior Data Engineer will lead the development of high-impact products, collaborate with Finance and Accounting teams, and take ownership of data services lifecycle. Responsibilities include architecting data models, resolving data integrity issues, and ensuring data solutions align with business needs.

The Applied Research Scientist will work with a team to develop state-of-the-art deep learning and natural language processing algorithms, build prototypes, and collaborate with product and engineering teams to transition research into products. They will also publish research findings and participate in conferences.