Top Remote Data & Analytics Jobs in San Luis Obispo, CA

The Soil Scientist will advise clients on carbon removal strategies, conduct due diligence on soil carbon projects, and contribute to science and policy efforts to mitigate climate change through soil management. This role requires a passion for carbon management and flexibility to implement strategies and deliver results.

The Workday HR Analyst will analyze HR data, create reports and dashboards, support HR operations, and assist in navigating Workday functionalities. Responsibilities include developing custom reports, providing insights for decision-making, and training HR staff on reporting tools.

The Energy Markets Analyst will engage in data management, optimize processes, and collaborate across teams to support market operations. Responsibilities include understanding demand response roles, developing tools for operational and sales needs, and executing market activities efficiently.

The Qualitative Research and Survey Analyst will design and implement advanced survey instruments, utilizing AI methodologies to enhance survey validity. They will integrate survey data with institutional sources, conduct focus groups and interviews, and ensure compliance with data privacy policies. The role requires independent project management and collaboration with university departments.

The Procurement Analyst will manage the raw material approval process, oversee contract usage for ingredients, organize raw material items within the ERP, and support the sustainability program while adapting to organizational changes and communicating updates to stakeholders.

As a Staff Data Engineer at Twilio, you will design, build, and maintain data pipelines, optimize data warehouse structures, and collaborate with cross-functional teams to leverage data for business strategies. You will also develop machine learning infrastructure and ensure efficient data processing and analysis.

As the Lead Data Scientist, you will establish a data science practice, collaborate with various teams to optimize systems, leverage data for strategic decisions, and utilize advanced analytics techniques to derive insights that drive business outcomes.