Top Remote Data & Analytics Jobs in San Luis Obispo, CA

Manage analytical service operations by overseeing a team, designing software for data mining, developing statistical models, and generating insights for marketing outcomes. Provide training and mentorship to direct reports.

As a Data Analyst at Monte Carlo, you'll use SQL and user analytics to provide insights for product decisions, build dashboards, and create data models while collaborating with various teams to improve data usability.

The Data Product Manager will manage data life cycle for payer and partner data, ensuring data quality and supporting customer success through effective communication and problem-solving. Responsibilities include handling data requests, attribution management, and data enrichment for healthcare projects.

The Sr Data Analyst will conduct data analysis for product development, create reports and dashboards, communicate insights to stakeholders, run experiments, and collaborate with teams to evaluate feature usage and performance.

The Credit Reporting Analyst resolves credit disputes, collaborates with internal teams and credit bureaus, and manages sensitive customer information while ensuring compliance with regulations.

The Senior Analytics Engineer will drive analytics projects, improve customer experiences, and develop self-service tools while collaborating with stakeholders to meet business needs.

The IT Auditor manages and conducts internal and external audits, assesses security risks, identifies control gaps, and provides audit training. Requires collaboration with compliance teams and effective communication of audit results to management.

Develop and productionize a next-gen Dispatch System, build predictive models, automate processes, and lead a small team in optimizing operations.

Lead the design and implementation of innovative data models for finance and actuarial use cases, mentoring team members and fostering client interactions.

As a Senior Data Analyst, you'll automate data transformation, create visualizations, and enhance data quality while collaborating across teams to improve decision-making.