Top Remote Data & Analytics Jobs

The Senior Analyst will enhance data-driven decision-making by analyzing complex datasets, collaborating with Product Managers, and providing actionable insights. Responsibilities include conducting research studies, performing advanced analytics using machine learning techniques, and communicating findings to stakeholders to guide strategic decisions.

The AI Research Scientist at Tavus will lead research on generative video models, work with the Applied ML team for productionization, and stay updated on industry advancements. The ideal candidate has experience in video technology, particularly with facial animation and video processing techniques.

As a Data Engineer, you will maintain and optimize the data architecture by designing and implementing data platforms and pipelines, supporting migrations, troubleshooting issues, and ensuring compliance with regulations. You will also address stakeholder requirements and provide training support to staff members.

Oversee and optimize financial systems and processes focusing on Workday, leading integrations and financial reporting. Collaborate with teams to gather requirements and enhance configurations for efficiency. Manage banking integration and support users with troubleshooting while mentoring team members on Workday functionalities.

The Senior Data Systems Engineer will work with clients to develop innovative technology plans, focusing on data modeling, system architectures, and reporting requirements. Responsibilities include ETL development, report creation, and designing analytics platforms, while applying machine learning and statistical analysis expertise to address operational challenges.

This role involves supporting the Digital Experience team's roadmap by collaborating with various stakeholders to enhance digital engagement initiatives. The incumbent will apply their expertise in technology disciplines to ensure applications align with business goals and provide a consistent customer experience.

The Cloud Cost Analyst supports cloud modernization initiatives through the analysis, forecasting, and optimization of cloud expenses. Responsibilities include monitoring cloud spending, developing financial reports, identifying cost-saving opportunities, assisting in budgeting, and analyzing vendor contracts to optimize resource expenditures during migration projects.