Top Data & Analytics Jobs in San Diego, CA
As a Data Engineer, you will develop and maintain data ingestion adapters for blockchain networks, implement data ingestion strategies, optimize latency, and collaborate with upstream data sources. You will perform data quality checks and adapt to a dynamic remote work environment.
The Research Associate role at a new AI startup involves data collection, QA, data analysis, and improving AI interactions with humans. This position offers opportunities for career advancement and learning new software skills on the job.
The Revenue Operations Analyst will manage and optimize the Marketing Ops, Sales Ops, and Customer Success Ops at Wonderlic. Responsibilities include overseeing the RevOps tech stack, ensuring compliance with processes, onboarding team members, streamlining operations, and setting up insightful dashboards.
The Data Engineer will be responsible for analyzing and converting customer data onto the enterprise software platform, focusing on ETL solutions and establishing best practices for data conversion. Tasks include collaborating with analysts, leading customer sessions, executing data profiling, and managing multiple projects while ensuring data quality.
Lead the Data Science team, developing AI models and statistical systems while collaborating with cross-functional teams. Drive research and data strategies that enhance product effectiveness and farmer profitability.
The Senior Data Analyst will predict revenue and margins to guide marketing and sales decisions, providing actionable insights and solutions to improve business decisions. This role involves analyzing data, maintaining performance reports and dashboards, and collaborating with various teams to drive data-driven strategies.
As a Data Engineer at Legalist, you will design and develop scalable data pipelines, collaborate with cross-functional teams to meet data needs, and optimize data pipeline performance. Responsibilities include developing ELT processes, participating in agile development, and applying best practices in data modeling.
The Manager will lead marketing analytics projects, maintain client relationships, oversee data science teams, and implement business strategies to enhance client performance. Responsibilities include managing data scientists, driving strategic consulting initiatives, and fostering team development.
The Computational Scientist will develop computational methods for catalysis material design and optimization, leading workflows and collaborating with teams to enhance existing procedures. Responsibilities include preparing reports, supporting business functions, engaging in client research, mentoring junior staff, and collaborating with software engineers.
The SAP Analytics Cloud Consultant will design and develop planning and analytic solutions for governmental clients. Responsibilities include analyzing needs, managing projects, and deploying web-based solutions, as well as mentoring and collaborating within the consulting team. The role requires strong organizational and communication skills and an understanding of managerial accounting.
Top Companies in San Diego, CA Hiring Data + Analytics Roles
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