Top Remote Data & Analytics Jobs in San Diego, CA

The Solutions Architect at CDW specializes in Microsoft Data and AI solutions, engaging directly with clients to understand their business needs, creating technical solutions, and overseeing the delivery process. This role emphasizes presales support, document preparation, sales planning, partner relationship management, and the development of intellectual property

As a Senior Business Operations Analyst, you'll support revenue growth and customer retention through data management, process development, and reporting, while collaborating with various teams to maintain quality operations and provide insights to leadership.

Experienced data analyst needed to tackle supply chain analytics challenges at Dandy, a dental industry tech company. Responsibilities include developing insights, defining data language, facilitating decision making, mentoring analysts, and utilizing data for problem-solving. Ideal candidates have 3+ years of experience in operations analytics or data science, BA/BS in a quantitative field, strong SQL and Python skills, and the ability to communicate results effectively.

The Lead Sales Compensation Analyst at Motive will manage day-to-day sales commissions processes, provide resolution for inquiries, validate data through analysis, and support system updates while ensuring compliance and process improvement.

The Sr. Workday Analyst will design, implement, and support Workday modules, enhance system accuracy and efficiency, provide data reporting, resolve Workday and Kronos escalations, train HR staff, and collaborate with HR partners to meet system requirements.

As a Senior Machine Learning Engineer, you will design data pipelines, develop machine learning models, and collaborate with various teams to integrate ML capabilities into products. You will also train others, conduct experiments to validate outcomes, and serve as a thought leader in data-driven innovations.

As a Senior/Staff Data Scientist, you will process large datasets into strategic insights, design machine learning models, and perform statistical analyses for product and leadership teams. Responsibilities include evaluating ML opportunities, mentoring mid-level data scientists, and collaborating with product and engineering teams. You will also communicate technical findings to various stakeholders and contribute to the development of the company's data science capabilities.