Top Remote Data & Analytics Jobs

The Variable Compensation Analyst designs and manages compensation programs, analyzes payouts, ensures compliance, and supports communication and process improvement initiatives.

The role focuses on accounting execution, process improvement, and automation using AI, requiring collaboration with finance and engineering teams.

As a Data Engineer at Circle, you'll manage data pipelines for blockchain analytics, ensuring data accuracy and quality to support business functions. Responsibilities include building ELT pipelines, designing data models, and improving warehouse operations.

The VP of Ecosystem Marketing & Developer Relations will lead global strategies to attract and empower developers on Circle's platform, manage marketing initiatives, and foster community engagement.

As a Data Engineer, you will manage the data warehouse and ELT pipelines for blockchain analytics, ensuring data accuracy and quality for product development and business growth.

The Financial Systems Analyst manages NetSuite, optimizes business system performance, supports users, ensures data integrity, and collaborates on process improvements.

The Senior Analyst will develop ownership models, understand customer needs, collaborate with engineering teams, and represent GM at industry events to enhance customer value.

As a Senior Data Scientist, you will analyze data, build models, and collaborate with teams to enhance credit evaluation using machine learning.

As a Principal Data Analyst, you'll lead credit analytics efforts, develop forecasting models, and collaborate with multiple teams to enhance Upstart's credit platform.

The role involves optimizing cloud spending, forecasting costs, and collaborating with teams on customer migration and governance in public cloud services.

Manage and validate financial models, ensuring accuracy and compliance. Collaborate across teams to improve model performance and frameworks.

Design and build secure data pipelines, lead data architecture, collaborate across teams, ensure data quality, and mentor other engineers.

As a Fraud Analyst, you will detect, investigate, and prevent fraud, analyze data, monitor fraud signals, and enhance fraud detection systems.