Top Remote Analytics Jobs in San Luis Obispo, CA

The Senior Manager, People Insights & Analytics will develop analytics tools, build dashboards, conduct workforce analyses, and drive people strategies using data insights to improve talent management.

The Sr. Game Data Analyst will lead data initiatives, optimize live games, and provide insights for player engagement and acquisition in mobile gaming.

The Actuary analyzes and forecasts financial data to support strategic decisions, ensuring data integrity, and serves as a subject matter expert on ESRD population for Medicare Advantage plans.

The role involves developing quantitative modeling solutions to assess risks, collaborating with various departments, and effectively communicating insights through data visualization.

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 a data analytics team to provide insights for product strategy, improve analytics capabilities, and foster a data-driven culture.

The role involves monitoring and analyzing portfolio performance, preparing reports, assisting in budgeting, and providing data-driven insights to improve outcomes.

The Analyst II focuses on enhancing Revenue Cycle operations through data analysis, process optimization, and change management while collaborating with various stakeholders to ensure effective project delivery.

The Senior Manager, Data Science & Analytics will lead a team to drive analytics and experimentation strategies for Yahoo Mail's growth and monetization, engaging with product, finance, and marketing to transform data insights into actionable strategies for success.

The Manager, Operational Analytics will oversee analytics processes, support data accuracy, and collaborate on data-driven decisions in health plans.

The intern will support special projects in data analytics, including administration, research, and development of data-related standards and documentation.

As a Sr. Analytics Engineer, you will partner with multiple stakeholders to transform data into actionable insights, maintain data governance, and drive product improvement through analytics engineering practices.

The Actuary analyzes financial data to forecast performance, ensures data integrity, advises on strategies, and supports business intelligence needs.

The Senior Auditor - Data Analytics will enhance RRG's data strategy, support audit teams in analytics, develop visualization solutions, and ensure data quality.

The role involves leading meteorological research for catastrophe models, applying hybrid modeling approaches, analyzing weather data, and collaborating on risk analytics solutions.

Manage and optimize GPU capacity and compute resources, develop data models and reporting systems, collaborate across teams to improve efficiency and meet business needs.

The role involves developing predictive models for catastrophe risk using advanced analytics, machine learning, and statistical techniques. Responsibilities include analyzing large datasets and collaborating on financial risk modeling to enhance accuracy. The individual will document processes and ensure consistent modeling methodologies are upheld.

The role involves data collection, validation, and modeling for catastrophe risk management, requiring SQL, Python, and analytical techniques to support financial decision-making at Nationwide.

Lead efforts in designing and implementing analytical solutions, improve processes, and manage relationships across project teams in a healthcare setting.

Lead Neo4j's PLG Marketing analytics strategy, turning data into insights to enhance user acquisition, activation, and monetization through reporting frameworks and analytical models.

The Director leads research data strategies, overseeing data management and analysis, guiding a multidisciplinary analytics team, and promoting data-driven decisions across the health system.

The role involves designing solutions using Databricks and Python, building data models, and integrating data from Army ERP systems, requiring extensive experience and a Secret security clearance.

Lead Analyst of User Analytics & Insights will shape strategy through data, collaborating with teams to drive insights and measurable business impact. Responsibilities include data manipulation, experimentation, predictive modeling, and analytics project management.

As an Analytics Engineer, you'll design and implement data models, transform raw data into usable datasets, and create dashboards and reports using Tableau, collaborating across teams to meet business insights needs.

Lead a team of data analysts, ensuring accurate reporting, data integration, and analytics presentations while collaborating with agency partners.