Top Remote Data & Analytics Jobs in San Francisco, CA
The Data Engineer II will design, develop, and support data integration and ETL projects, mentor other data engineers, and ensure the quality of BI data. Responsibilities include data profiling, logical/physical modeling, performance tuning, and collaborating with offshore teams on development tasks.
The Lead Data Engineer will create and maintain data pipelines, handle complex data transformations, and collaborate with development teams. Responsibilities include optimizing queries, automating processes, and improving data systems. The role requires troubleshooting and incident resolution while providing leadership to the team.
The Chatbot Analyst at Axos Bank is responsible for optimizing and improving the chatbot experience, developing technical solutions for use cases, and monitoring chatbot performance to drive innovation within the chatbot framework.
The Principal Analytics Engineer at Americor will bridge data engineering, data science, and business intelligence, driving analytics innovations. Responsibilities include building and deploying automated machine learning models, conducting audits for best practices, and delivering impactful analytics solutions through advanced reporting and statistical experimentation.
The Actuarial Analyst 2 analyzes and forecasts financial and economic data to assist in strategic decision making. Responsibilities include optimizing financial models, evaluating program performance, collaborating on model results, and ensuring data integrity through effective processes and controls.
The role involves leading a team of Solution Specialists to drive the sales of Procore's Analytics products, attract and retain talent, provide training, conduct performance reviews, and deliver forecasts to sales leadership while implementing process improvements.
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As a Senior Data Scientist, you will translate complex business questions into quantitative analysis, enable data-driven decisions, and develop visualizations. Responsibilities include aggregating data with SQL, supporting ETL processes, and building dashboards to inform product and operational teams. Strong analytical and communication skills are essential.
The Lead Business Planning Analyst is responsible for dataset development, modeling, reporting, and analysis to support Retail Markets. They will collaborate with Finance and Retail teams, challenge processes for profitability, and conduct analyses to inform business strategies and financial forecasts.
As a Quantitative Researcher at Monad Labs, you will develop predictive models addressing blockchain performance and user/system behaviors. You will tackle challenging problems through creative solution development and prototype various approaches, ultimately delivering production-grade solutions and managing prediction pipelines.
The Data Architect will support and enhance Data & Analytics platforms, focusing on data movement and database technologies for analytics and ML/AI. Responsibilities include identifying performance bottlenecks, leading architectural development, designing end-to-end solutions, collaborating with various teams, and ensuring project alignment with best practices.
Top remote Companies in San Francisco, CA Hiring Data + Analytics Roles
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