Top Remote Data & Analytics Jobs

As a Senior Analyst of FP&A, you will lead budgeting and forecasting processes, manage revenue cycle, prepare financial performance updates, analyze financial metrics, perform variance analysis, and assist with investment analyses, contributing to the strategic decision-making for growth.

The Principal Machine Learning Engineer will drive the development of ML solutions addressing complex business problems, implement algorithms for recommendation systems and generative AI, and mentor senior data scientists. This role involves collaboration across teams to enhance ML capabilities and deliver value to customers.

The Tax Data Specialist is responsible for maintaining tax profile data, processing customer profile updates, managing cases related to tax inquiries, and ensuring data accuracy in systems like TaxEx and Workday. They provide support for payroll tax data analysis and assist customers with filing impacts while maintaining quality metrics.

The Control Systems Analyst will manage the lifecycle of Building Management Systems, Electrical Power Monitoring Systems, and Alarm Management platforms, ensuring compliance with operational standards and industry regulations. Responsibilities include developing product strategies, collaborating with engineering teams, managing product releases, and providing technical training.

The Web Analytics Specialist at Elevar will be responsible for managing onboarding, implementation, and ongoing support for clients. The role involves utilizing Google Analytics and Google Tag Manager for tagging and event tracking, conducting audits, and providing support to analysts. The specialist will actively refine their skills while ensuring customers can effectively maximize their data collection efforts.

As a Principal Applied Scientist, you will develop advanced machine learning models for digital advertising, analyze large datasets for insights, collaborate with engineering teams, and mentor junior scientists while ensuring model performance aligns with changing market conditions.

As a Senior Data Engineer, you will design, build, and maintain scalable data pipelines and infrastructure. You will lead data pipeline development, architect efficient data solutions, and optimize ETL processes while working with cloud platforms and big data technologies. Collaboration with cross-functional teams is essential as you contribute to strategic data initiatives.