Top Remote Senior Level Data & Analytics Jobs

As a Staff Data Engineer at 2K, you will focus on designing and building data models for Data Science and Business Intelligence, constructing APIs and data products, monitoring data pipelines, and collaborating with business partners and developers to ensure requirements are met for various initiatives.

The Senior Scientist I will support bioanalytical testing of samples including in-process and process development characterization. Responsibilities include method development and optimization, sample management, and compliance with laboratory safety protocols.

As a Data Engineer, you'll maintain data transfer operations securely, automate configuration management, apply data engineering technologies, collaborate with various teams to innovate, manage web scraping tools, and identify efficient coding solutions.

The Analyst Relations Manager at Code and Theory will manage relationships with industry analysts, enhance visibility and market positioning, and drive strategic programs. Responsibilities include setting up analyst engagements, preparing presentations, monitoring research, managing budgets, and training senior management about analyst research.

The Senior Product Analyst will coordinate the product testing process, manage A/B tests, analyze consumer interaction data, and collaborate with cross-functional teams. This role requires critical thinking to turn test results into insights, improve testing processes, and communicate findings to stakeholders.

The Senior Manager of Data Platform leads the development of a scalable and reliable data platform for Vertex's product offerings, ensuring alignment with business goals. Responsibilities include defining data architecture best practices, mentoring engineers, managing cross-functional relationships, overseeing recruitment, and staying updated with industry trends.

As a Senior Data Engineer, you will design, develop, and maintain data platforms to support organizational data needs, build scalable data ingestion pipelines, lead data governance efforts, and collaborate with Data Scientists and Product Managers to implement data models and ETL processes, predominantly using AWS technologies.