Top Remote Data & Analytics Jobs

The Sr. Data Analyst will deliver actionable insights to stakeholders, develop predictive models, and support data-driven growth by analyzing diverse datasets.

Lead the development of audit practices, enhance methodologies, integrate data analytics, ensure compliance, mentor teams, and communicate effectively with leadership.

The Market Risk Analyst will monitor SBL lines of credit, assess market risks, manage collateral, develop risk models, and prepare reports.

The Underwriter will review and underwrite loans, ensuring compliance with standards, and assist in loan structuring and evaluation.

Support GitLab's go-to-market planning, target setting, compensation design, analytics, and capacity planning for revenue growth.

The Senior Product Analyst at Toast collaborates with various teams to analyze data, develop measurement frameworks, and enhance product development through insights, dashboards, and reporting tools.

As a Data Engineer, you will design and maintain data pipelines, build data storage systems, and support analytics workflows, ensuring data reliability and performance. You will collaborate with engineers to define data structures and improve data management practices.

Support commercial decision-making by transforming internal and external data into actionable insights. Maintain recurring performance reporting, conduct market and competitive analyses, build dashboards and automations, and produce executive-ready insight summaries to inform pricing, promotion, innovation, and supply chain planning.

As a Senior Analyst, you'll gather and analyze requirements, implement process improvements, manage financial reporting in Workday, and mentor junior analysts.

The Lead Data Steward will manage aviation operations data, ensuring data quality, governance, and successful product delivery while collaborating with cross-functional teams.

The AV Safety Analytics Engineer will develop data analytics infrastructure for automated vehicle safety, utilizing cloud processing and statistical methods. Responsibilities include creating data visualizations, monitoring metrics, and ensuring data integrity across systems.