Top Remote Data & Analytics Jobs
The Manager of AI and Data Engineering will lead a team of data engineers and scientists, build real-time data pipelines, and apply advanced technologies for AI research. Responsibilities include partnering with teams to ensure quality data management and advising leadership on data strategies, while also driving innovation and best practices in AI.
The Data Analyst will manage program data collection, ensuring quality assurance, and conduct statistical analyses. Responsibilities include creating reports for stakeholders, enhancing data processes, and supporting the Director of Operations with insights related to KPIs. The role requires attention to detail and effective communication to present findings clearly.
As a Research Scientist on the Interpretability team, you will develop methods for understanding large language models through the reverse engineering of algorithms within neural networks. This involves designing and conducting robust experiments to achieve mechanistic interpretability, aimed at improving the safety and performance of AI systems.
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The Sr. Data Analyst will analyze large-scale data sets to identify trends and performance metrics, develop enterprise-wide data analysis and reporting solutions, provide analytical support across departments, ensure data quality, and assist in software development and sales processes.
The Billing Analyst manages the billing process, ensuring accuracy and timeliness. Responsibilities include generating invoices, preparing reports, maintaining client billing guidelines, and providing high-quality customer service. This role also involves troubleshooting electronic billing issues and managing unpaid funds.
The Policy and Markets Analyst will track and analyze regulatory and market developments in the solar and energy storage sectors, develop market entry strategies, engage with industry groups, and support business development efforts through presentations and proposals.
As a Market Intelligence Analyst, you will conduct market research and analysis of the semiconductor capital equipment market, develop financial models, provide strategic recommendations to senior leadership, and collaborate with various teams to implement market strategies and campaigns.
The Technical Analyst Lead will oversee system and infrastructure operations, provide technical direction to improve workflows, manage hardware and software deployments, and ensure successful integration of critical projects, all while working with multiple teams.
The Business Intelligence Analyst will collaborate with cross-functional teams to manage the BI development process, including data gathering, ETL processes, and creating dashboards. The role requires proficiency in SQL and data visualization to drive insights and support internal stakeholders, enhancing the client experience through informed decision-making.
The Lead Data Engineer will design and develop Snowflake Data Cloud solutions, including data ingestion pipelines and data architecture, mentoring junior engineers, and leading technical teams. This role requires expertise in cloud data warehouses and ETL/ELT processes to optimize data systems for customer projects.
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