Top Analytics Jobs in San Luis Obispo, CA

In this role, you will lead the AI and data strategy for 1848 Ventures, creating innovative solutions and overseeing the development and deployment of AI applications. You'll collaborate with cross-functional teams and build a high-performing AI team, ensuring data governance and ethical practices while driving business value through advanced data strategies and machine learning models.

The IT Data Analytics and Reporting Architect will design and implement solutions for business requirements related to analytics and reporting. Responsibilities include overseeing solution development, providing expertise in Snowflake and ETL tools, ensuring data integrity, and supporting analytics processes. The role demands creativity, leadership, and the ability to mentor team members.

As a First Party Fraud Analyst I at USAA, you will analyze financial crimes, collaborate across teams, apply advanced analytical techniques, and communicate insights to influence business strategies. You will handle and integrate data from disparate sources, ensure compliance with risk management policies, and recommend thoughtful approaches to problem resolution.

As a Research and Insights Analyst, you will analyze large datasets, collaborate with teams to enhance tools, and contribute to thought leadership, focusing on delivering actionable insights to support business development and knowledge management initiatives.

As a Sales Engineer, you will engage with clients to design and implement cloud data solutions using platforms like Databricks and Snowflake, focusing on AI/ML integration and data engineering workflows. Your role includes presenting tailored solutions, conducting workshops, and providing ongoing customer support.

The Sales Data Analyst will analyze sales data, identify trends, and improve CRM data for better sales strategies. Responsibilities include developing complex Excel spreadsheets, utilizing SQL for data manipulation, and generating reports on sales performance indicators. Collaboration with cross-functional teams is essential for providing actionable insights.

The Revenue Operations Analyst will focus on improving revenue visibility and operational efficiency at Veda by utilizing data analysis and providing insights. The role includes managing data sets, setting reporting standards, collaborating with various teams, and implementing processes for data accuracy.