Top Remote Data & Analytics Jobs in San Diego, CA
Sr. Analytics Engineer role at Paytient, partnering with various stakeholders to deliver data products driving operational efficiency and product improvement. Responsible for full-stack analytics engineering, data governance, creating actionable insights, and utilizing Machine Learning. Remote position in the continental U.S., excluding Montana.
As a Quantitative Scientist at Osmind, you will work with data to support innovative mental health treatments. You'll plan and execute research projects, contribute to real-world evidence, collaborate on research cohorts, conduct statistical analyses, and prepare presentations for scientific conferences, all aiming to advance mental health interventions.
The Staff Data Engineer will collaborate with data analysts and scientists, building and managing data pipelines, designing databases, and driving data-driven decision-making across departments. Responsibilities include improving development processes and mentoring junior staff while engaging in impactful projects.
The Senior Data Engineer will be responsible for designing and developing a robust data ingestion platform utilizing Azure technologies. Duties include creating complex data pipelines, writing SQL queries, ensuring data quality, and collaborating with teams for data modeling and analysis while adhering to compliance policies and practices.
The Analyst, Growth at Evergreen Nephrology will be responsible for coordinating efforts to develop value-based partnerships with health plans and risk-bearing entities. This role involves analyzing internal and external data, managing growth program activities, creating financial pro formas, documenting insights, and interacting with potential clients.
The Cost Analyst II will manage and report financial data for the IT modernization program, develop cost estimates, reconcile expenditures, and provide financial reporting support to Indian Health Services leadership. Responsibilities include maintaining the Cost Element Structure and tracking contract burn rates to ensure budget compliance.
The Senior Data Engineer will develop robust and scalable data pipelines, architect innovative data products, and integrate advanced AI techniques to convert raw data into actionable insights, collaborating with various teams to enhance user experience.
The Senior Data Engineer will develop and maintain ETL/ELT pipelines, analyze and model complex data, and collaborate across teams to optimize data solutions for performance and scalability. Responsibilities include working with technologies like SQL, Python, and AWS, and ensuring data privacy and security in architectures.
The Senior Data Engineer will design, maintain, and enhance the company's data analytics pipeline, focusing on data warehouse and ETL processes. Responsibilities include developing tools for monitoring data health, collaborating with stakeholders, and ensuring data accuracy and reliability.
The Data Analyst will transform complex data sets into valuable insights, supporting product development through analysis and reporting. Responsibilities include data exploration, analytics reporting using tools like SQL and Power BI, collaboration with product teams, and continuous learning of industry trends to drive business decisions and product improvements.
Top remote Companies in San Diego, CA Hiring Data + Analytics Roles
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