Top Analytics Jobs in San Luis Obispo, CA

The role involves leading advanced analytics projects focusing on customer churn for DIRECTV, utilizing data analysis and predictive modeling to drive retention strategies.

The role involves leading analytics, managing data pipelines, ensuring data quality, and translating data into actionable insights for business impact.

Provide support for data repository and analytics tools in GMP data, focusing on manufacturing and quality domains. Analyze business needs, manage data curation, ensure compliance, and lead documentation and testing efforts.

Drive marketing performance measurement and attribution by building dashboards, standardizing campaign tracking across HubSpot and Salesforce, running funnel and cohort analyses, ensuring data integrity, and delivering executive reporting to connect marketing activity to pipeline and revenue.

The Growth Analytics Lead will analyze and optimize marketing investments, develop performance metrics, and operationalize data tracking to improve growth and retention metrics for a direct-to-consumer brand.

The Manager leads the Predictive Analytics and Data Science team, develops predictive models, and collaborates with cross-functional teams to drive data-driven solutions in healthcare.

The Vice President of Clinical Data & Analytics leads analytics strategy and infrastructure, driving insights to optimize healthcare outcomes and manage costs. They collaborate with executives to enhance clinical programs, improve client reporting, and ensure data-driven decisions. Responsibilities include overseeing data integration, leading HEOR initiatives, and managing a high-performing analytics team.

The Staff Analytics Engineer will enhance the analytics data layer, improve data quality, maintain core data models, and introduce AI-assisted workflows to optimize insights generation.

As a Senior Analytics Engineer, you will own Solv's analytics stack, focusing on data pipeline efficiency, customer-facing analytics, and AI-powered tools, working with internal teams to improve metrics, dashboards, and data visibility.

The Head of Data & Analytics will lead a team to develop a data strategy, govern data systems, and deliver impactful insights across the company. Responsibilities include managing analytics and data platform architecture, fostering data-driven decision-making, and ensuring robust analytics infrastructure.

Lead analytics strategy for channel marketing, build attribution and incrementality frameworks, run experimentation and forecasting, surface optimization insights, and grow a high-performing analytics team to improve ROI and guide investment decisions.

As the Director of Analytics, you'll lead analytics for MyPrize, optimizing performance across teams, developing reporting tools, and informing data infrastructure.

The Marketing Analytics Manager role involves managing marketing performance metrics, analyzing campaign performance, and collaborating with teams to optimize marketing investments and conversions.

The Fraud Risk Analytics Manager will lead fraud risk strategy optimization and provide analytical insights to reduce fraud risk and enhance customer outcomes. They will partner with teams to ensure transparency and governance in fraud strategies, using advanced data analysis techniques to drive decision making.

As a Data Analytics Manager, you will lead a team to analyze data, drive strategic insights, manage projects, and optimize mobile app performance for top brands.

The Analytics Engineer will enhance BI infrastructure, collaborate with Data Engineering, and deliver analytics-ready data. Responsibilities include managing Snowflake, dbt projects, and CI/CD workflows, optimizing data structures, and supporting BI initiatives.

The Manager, Billing Analytics partners with Reimbursement Operations to provide high-quality reporting and insights through data analysis and visualization, enhancing decision-making processes.

The Principal Analytics Engineer will design and engineer a data infrastructure to support AI-powered insights and reporting for Elastic's marketing strategies, ensuring data quality and usability for all stakeholders.

The role involves designing and maintaining data models and pipelines, collaborating with teams to drive insights, and building dashboards for analytics and reporting.

As a Business Intelligence and Analytics Engineer, you will develop data tools, ensure data quality, deliver analytical insights, and collaborate with cross-functional teams to empower data-driven decision-making.

Lead the People Analytics function by developing AI tools, predictive models, and dashboards to enhance HR decision-making and employee experience.

As a Senior Data Analytics Engineer, you will build and manage data pipelines, support AI/ML initiatives, and ensure data reliability and accessibility within the organization.

The Analytics Principal will lead analytics for key client partnerships, analyze large datasets, develop insights, and mentor junior analysts.

The Analytics Implementation Manager will lead the implementation and validation of analytics infrastructure, ensuring measurement accuracy and reliability across client accounts. Responsibilities include deploying tagging solutions, managing data layers, coding in JavaScript, and collaborating with cross-functional teams to troubleshoot and enhance performance tracking.

The Analytics Manager will lead analytical efforts, derive actionable insights from data, mentor junior analysts, and engage with clients to enhance strategies utilizing Cardlytics' platform.