Top Remote Senior Level Data & Analytics Jobs in Dallas, TX

Lead Data Engineer will design data models, develop data pipelines, and integrate Palantir Foundry with external systems. The role requires hands-on experience with data integration and application development, using tools like Python and SQL, while also providing guidance to developers and collaborating with stakeholders.

The Senior Financial Analyst will manage financial reporting and forecasting, analyze performance against plans, create SQL queries for data analysis, maintain financial models, support annual planning processes, and assist with cash management and reporting tasks. They will also help others develop SQL queries and respond to ad-hoc reporting requests.

The Data Engineer III is responsible for architecting, building, and maintaining scalable tooling and infrastructure for data management. Key tasks include constructing automated data pipelines, managing data storage, and performing data analysis and troubleshooting. Collaboration with Data Scientists and Business Analysts is essential to enhance data models for informed decision-making, alongside monitoring data quality and supporting data infrastructure needs.

The Head of Data will shape the data strategy at Gemini, build a high-performance data team, manage data infrastructure, optimize data warehousing, and drive data-driven initiatives across the organization. Responsibilities include overseeing data management, analytics, and collaborating with executive leadership on data integration into business strategies.

The Treasury Operations Analyst at Backflip will manage daily cash flows, conduct cash reconciliations, ensure compliance with internal policies for wire transfers, support the accounting team with payments, and implement process improvements. This role requires attention to detail, strong organizational skills, and the ability to thrive in a fast-paced environment.

The Senior Data Scientist will lead data analysis and machine learning efforts to extract insights from complex datasets, drive product enhancements, and influence strategic decision-making. Responsibilities include statistical modeling, data mastery, and mentorship within a cross-functional team to deliver machine learning solutions.

The Senior Data Engineer will develop a cloud-based data transformation and workflow solution for the U.S. Army. Responsibilities include managing data pipelines, data security governance, and delivering high-quality software. The role entails communicating design decisions to different audiences and requires extensive collaboration across teams to solve complex problems.