Top Remote Data & Analytics Jobs in Dallas, TX

The Director, Product Analytics & Strategy will lead market expansion, define product strategy, analyze market opportunities, and drive cross-functional collaboration to shape product direction and company growth.

The Data Engineer will build real-time data pipelines for pricing algorithms, collaborate with teams, and contribute to batch data workflows.

Lead client-facing data solutioning and pre-sales efforts for Consumer verticals, design executable data architectures, support pursuit to close, and provide ~50% hands-on delivery and architectural oversight while ensuring information security and data privacy compliance.

As a Staff Data Engineer, you will design and optimize data infrastructure, collaborate with stakeholders, ensure data quality, and provide technical leadership while owning architectural improvements and driving operational excellence.

Design and build data warehouse architecture, develop ETL/ELT pipelines, implement data governance, and partner with teams to improve data systems.

Lead the management and delivery of data related to M&A, proxy contests, and shareholder activism, ensuring data accuracy and operational excellence.

The VP, Head of Policy & Data Operations manages data governance and operations for proxy voting policies, ensuring data integrity and operational excellence while collaborating across teams to optimize processes and manage risks.

The Staff Data Engineer will develop and optimize data systems, analyze data, and collaborate with teams to deliver scalable solutions in healthcare data management.

The Lead Data Analyst analyzes audience behavior and content performance on streaming platforms, providing insights to drive product strategy and business decisions through data analysis and reporting.

The Claims Insights Analyst will conduct investigative analysis on claims data, identify trends, prepare visualizations, and provide actionable insights to improve business outcomes.

This role involves managing and evolving Snowflake platforms, mentoring data engineers, optimizing data processes, and ensuring data quality and governance.