Top Remote Senior Level Data & Analytics Jobs

Lead the development of analytics solutions across operations, manage a team of analysts, and drive operational excellence and decision-making through data insights.

Lead development of analytics platforms at GameChanger, enhance BI tools, define metrics, and contribute to data modeling for insights.

The Tag Manager will oversee and optimize Rula's tagging ecosystem, ensuring accurate data capture and collaborating cross-functionally to enhance analytics capabilities and data trust.

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 Lead Data Engineer, you will guide a team, manage the data platform, and oversee the development of ML infrastructure and feature stores.

Enter, validate, and maintain data remotely; perform data quality control, reporting, and organization. Additionally, manage accounting tasks including reconciliations, month-end close, and supervise junior accounting staff.

Lead statistical programming for clinical trials using R and SAS to produce tables, listings, and figures per SAP. Manage and mentor programmers, ensure CDISC compliance (SDTM/ADaM), maintain documentation, perform validation/QC, and support regulatory submissions while following SOPs and regulatory guidelines.

The Senior Business Operations & Analytics leader will support executive decision-making, define metrics, and improve operational efficiency across Filmhub, partnering closely with the CEO and other leaders to enhance performance and clarity as the company scales.

Lead and inspire a team of Machine Learning Scientists and Data Scientists at Netflix, focusing on the ads business and media planning. Enhance partnerships, drive success through collaborative projects, and ensure high-quality outputs that align with business goals.

As an ML Engineer, you will build and productionize predictive models for ad inventory and campaign performance, contributing to the growth of Netflix's ad platform.

Lead a data science team to enhance Netflix's streaming product through analytics and experimentation, partnering with engineering.

The Data Scientist will analyze data to optimize products, drive business decisions, develop models and algorithms, and enhance customer experiences.