Top Data & Analytics Jobs in San Luis Obispo, CA

As a Data Scientist, you will lead the development of next-generation Machine Learning capabilities, designing and implementing production-grade algorithms, solving complex prediction challenges, and collaborating with a team in a remote startup environment.

As a Principal Analyst, you will conduct detailed modeling and analysis of wholesale power markets, manage large datasets and projects, enhance forecasting capabilities, and collaborate with cross-functional teams. Responsibilities also include writing industry-related content and hosting educational webinars.

The RevOps Analyst will analyze revenue data, manage key initiatives for Sales funnel processes, optimize operations, and conduct ad-hoc analysis to drive strategic decision-making. Key responsibilities include data analytics, process automation, and working closely with Sales leadership to improve operational efficiencies.

The Compensation Operations Analyst will support compensation operations by resolving complex questions, documenting processes, streamlining compensation workflows, maintaining job setups in Workday, auditing data, and assisting with stock administration tasks.

As a Senior Data Engineer/Scientist, you will design and maintain data pipelines, build and transform data structures, and collaborate with data scientists and analysts to create quality analytics for People Analytics at Samsara. You’ll work with both structured and unstructured data, leveraging tools like SQL and Python, while integrating external datasets, and implementing AI tools into data workflows.

The Data Steward at OpenX will ensure data accuracy and governance within Salesforce, integrating with various platforms. Responsibilities include improving data models, reporting accuracy, and managing automation for efficient decision-making, while collaborating with various teams for data-driven insights and compliance with data regulations.

As a Senior Analyst on the Auto Analytics team, you will drive analytics, reporting, and pricing strategies to support the growth of Auto products. This role involves cross-functional collaboration, evaluating revenue and cost impacts, credit analysis, and maintaining SQL and Python-based data models for analytics.