Top Data & Analytics Jobs in Santa Cruz, CA
The Reinsurance Analyst will support the reinsurance placement process through data analysis, research, and documentation. Responsibilities include learning reinsurance agreements, assisting with client services, and developing accounting and claims administration skills. The role involves collaboration with various teams and stakeholders, ensuring compliance with best practices, and participating in a comprehensive training program to gain industry knowledge.
The Lead Data Engineer is responsible for designing, building, and optimizing data orchestration and pipeline architecture. This role involves maintaining data engineering architecture, implementing ELT and ETL processes, and mentoring junior engineers while supporting data needs across multiple teams and products.
The Disputes Analyst manages billing disputes and fraud activities, ensuring timely processing of chargebacks and customer inquiries. Responsibilities include analyzing documentation for chargeback eligibility, maintaining dispute inventory, collaborating with support teams, and recommending procedural changes to enhance efficiency.
As an Analytics Engineer, you will create and optimize data models, work with product and engineering teams to ensure accurate data generation, collaborate with stakeholders on project timelines, and improve data processes using various analytics tools.
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As a Principal Data Engineer, you will lead data engineering initiatives, architect integrated data platforms, maintain ETL pipelines, and utilize AWS services. Collaborating with various teams, you will ensure data efficiency and regulatory compliance while mentoring fellow engineers and optimizing data processes using advanced statistical methods and technologies like Docker, Snowflake, and Spark.
As a Senior Data Scientist/DBA at SELF ID, you will manage data infrastructure, ensure data integrity and security, and analyze complex datasets to derive insights. You'll collaborate with various teams to drive data-driven decisions and develop innovative solutions, working remotely on cutting-edge technologies.
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.
The Data Engineer will optimize data management strategies by creating and maintaining data transformation pipelines, building scalable data infrastructure, and collaborating with cross-functional teams to enhance operations in the financial sector. Responsibilities include working with complex data sets, driving process improvements, and utilizing analytics tools for actionable insights.
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.
Top Companies in Santa Cruz, CA Hiring Data + Analytics Roles
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