Top Data & Analytics Jobs in San Luis Obispo, CA

The Data Analyst will perform data analysis, validation, and quality assessments, support MDM implementations, and collaborate with stakeholders to ensure accurate master data.

Lead a team to develop data strategy and insights across multiple business functions, driving analytics evolution and ensuring data quality and governance.

As a Business Intelligence Analyst, you will manage analytics projects, build dashboards and reports using SQL and Snowflake, and work with stakeholders to translate data needs into actionable insights.

The Sr Visual Basic Developer/Analyst supports MSR Risk Management by analyzing data and providing insights while managing multiple projects and priorities.

The Forward Deployed Data Engineer will manage AI-automated data platform migration projects, ensuring timely delivery and communication with clients while utilizing proprietary tools.

The BI Reports Developer designs and maintains BI reports and dashboards, collaborates with stakeholders for reporting needs, analyzes data for trends, and ensures data validation.

The Econometrician will develop econometric models, provide analytical support, engage with clients, and drive innovation in marketing analytics at Tinuiti.

The Insights Lead Analyst will develop analytics strategies, connect data for insights, and deliver actionable recommendations to clients, enhancing marketing decisions based on data analysis.

The Director of Underwriting will lead the underwriting team, manage teams, develop skill sets, maintain relationships with partners, and present data insights.

Lead a team of data engineers in designing and maintaining scalable data infrastructure and pipelines, ensuring data integrity and decision-making support.

The Director of Data Platforms & Governance will define the strategy and architecture for a data platform, lead the data platforms team, and ensure data governance and integration with enterprise systems.

The Data Engineering Manager will lead a team, driving technical growth, fostering collaboration, and ensuring effective data architecture and systems.