Top Data & Analytics Jobs in San Diego, CA
The Senior GRC Analyst will oversee security compliance initiatives, conduct risk assessments, manage security documentation, audit 3rd party vendors, and support external audits. Strong communication skills and the ability to collaborate with cross-functional teams are essential.
As a Senior Data Analyst at Wave, you will analyze user and merchant behavior, assess the impacts of product features and partnerships, and derive insights to enhance growth. Collaborating with product and operations teams, you will design and implement experiments, manage the analytics process, and help improve data infrastructure.
The SVP will lead the Data, AI, and Automation organization, driving a strategic transformation across global operations. They will develop and implement a comprehensive AI and data strategy, collaborate with cross-functional teams to integrate solutions, and ensure performance measures align with business outcomes, emphasizing digital innovation and talent development.
The Sr. GRC Analyst will support and mature the Governance, Risk, and Compliance program at Prosper, executing security compliance initiatives, conducting assessments and audits, managing documentation, leading external audit evidence collection, and fostering stakeholder collaboration. This role requires high attention to detail and a strong understanding of risk in a technology-focused environment.
The Data Annotator will label and curate data for AI model training, including annotating multimodal data and generating multiple-choice questions. The role requires attention to detail, English proficiency, and data literacy.
The Senior Oracle Functional Analyst will interface with the business to implement, configure, and support Supply Chain Management applications through functional analysis and Oracle cloud configuration. Responsibilities include managing business analysis processes, defining functional requirements, and collaborating across IT and business units to ensure effective project execution and solution design.
The Analytics Engineer at Zepz will develop and maintain data models, optimize data pipelines, and collaborate with cross-functional teams to provide actionable insights and ensure data quality. The role involves troubleshooting data issues and adhering to best practices for data consumption.
The Lead Data Scientist will drive the delivery of AI/ML solutions in the retail sector. Responsibilities include leading teams, managing data science projects, utilizing algorithms for customer segmentation, forecasting, and optimizing marketing strategies. The role requires collaboration with stakeholders and a strong understanding of end-to-end data science processes.
As a Database Administrator, you will design, install, configure, and maintain database systems while ensuring their integrity and security. Your role involves troubleshooting, implementing performance tuning, managing backups, disaster recovery processes, and collaborating with technology teams. You'll also support Azure SQL instances and develop future compliance roadmaps.
As a Field Application Scientist, you will support sales and customers with technical expertise on products related to proteomics. Responsibilities include conducting demos, managing technical support, collaborating with internal teams, and ensuring instrument utilization. The role requires excellent communication skills and a background in life sciences.
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