Top Remote Data & Analytics Jobs

As a Finance Data Stewardship Analyst, you will manage data quality and governance across various business processes, ensuring efficient invoice processing and collaboration with stakeholders.

The Senior Manager will oversee the end-to-end Lead-to-Opportunity lifecycle, manage a technical team of Salesforce Developers and BSAs, and ensure system scalability and accuracy while fostering a collaborative culture.

The Analyst II will analyze data to optimize fraud strategies, develop machine learning models, and collaborate with teams to enhance product safety.

The Data Manager oversees data management processes for projects, ensuring timely, compliant, and quality data submissions, supporting project teams, and maintaining effective communication with stakeholders.

The Senior Staff Data Engineer will design scalable data systems, lead technical direction, optimize data platforms, and ensure data quality and performance for Observability & Insights.

As a Meteorologist, you will use forecasting tools to identify weather events impacting clients, communicate weather information, partner with analysts, and support customer webinars, all while working with a flexible schedule in a fast-paced environment.

Lead strategic vision and execution of GitLab's data platform and analytics capabilities, focusing on AI-enabled self-service analytics and data governance.

The Director of Technical Writing will redefine documentation creation at GitLab, focusing on AI integration, collaboration with Engineering and Product Management, and enhancing user experience.

Analyze auction data to identify performance drivers and risks, collaborate with commercial teams, and provide actionable insights to optimize DSP outcomes.

As a Data Operations Analyst, you will maintain and enhance Charge Integrity SaaS by utilizing SQL and data analysis to solve complex revenue cycle problems and ensure accurate charge capture.

The role involves building large, scalable analytics pipelines, defining data models, integrating data, and collaborating on data architecture and strategies.