Top Remote Data & Analytics Jobs

Intern will interpret data, analyze results, develop databases, identify trends, and work with management to prioritize needs.

The Information and Data Governance Manager leads a team to manage digital information for nuclear projects, ensuring compliance, quality, and accessibility across engineering and business teams.

This role involves designing and implementing data quality monitoring and governance for cyber datasets, collaborating with various stakeholders, and ensuring trusted data through frameworks and automated controls.

The Senior Data Analyst will collaborate across teams to provide insights, build analytics databases, create dashboards, and automate reporting solutions. They will analyze data trends and partner with IT and product teams to enhance data models.

The Data Engineer will develop and maintain data pipelines, build data models, ensure data quality, and support cross-functional teams while improving internal data platform infrastructure and documentation.

Lead verification strategy for personal loans by designing and optimizing vendor data, credit bureau data, and internal signals to validate income and improve underwriting decisions.

As an Analytics Lead, you will manage the measurement strategy, oversee tracking architecture, design testing frameworks, and create insights for clients. You'll lead a junior specialist and ensure data integrity across client accounts. Responsibilities include building dashboards, interpreting metrics, and creating measurement plans to drive business decisions.

As an Analytics Engineer, you will transform raw data into reliable insights, build data models, and conduct analysis to support product and business decisions.

The Data Lead - DDS Americas will oversee data management, conversion, and quality across North America, leading a team in data strategy, cleansing, and integration for ERP systems.

The Senior Data Architect will shape Autodesk's data architecture vision, define enterprise data domains, and ensure data strategies support AI/ML and business goals through strong governance and hands-on technical involvement.