Top Analytics Jobs in San Francisco, CA
As a Senior Data Engineer at Trunk, you will build scalable data pipelines, design efficient data storage solutions, and optimize distributed applications. You will work closely with customers to understand their needs and integrate AI models for analytics. The role requires a strong understanding of distributed systems and experience in building data applications.
The MES Functional Analyst III collaborates with Business and Operations to translate requirements into functional specifications, focusing on Sales, Support, and Marketing functions. They lead business analysis, document processes, create test plans, and resolve issues, ensuring effective communication across stakeholders. They are responsible for the implementation and operation of various marketing technology platforms and adhere to quality standards and compliance principles.
The Senior Analytics Engineer will design, develop, and maintain data infrastructure and analytical solutions. Key responsibilities include creating scalable data models, managing ETL processes, analyzing data for insights, optimizing performance, and implementing improvements based on emerging trends and technologies.
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As a Data & Analytics Manager, you will work with post sales teams to translate business problems into analytics solutions, build dashboards and visualizations for customer success, apply data science techniques, and communicate insights non-technically. You'll also create prototype data applications to support customer engagement.
The Financial Data Analyst will manage budgeting, forecasting, and financial reporting, support strategic planning, analyze financial KPIs, and drive process improvements while collaborating with leaders across Finix.
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The Senior Manager of Data for Paid Placement will lead a team of data scientists, define data vision and strategy, prioritize projects, and enhance the effectiveness of data science models and algorithms to deliver significant business impact.
As a Senior Data Analyst, you will provide insights for product and business teams, support initiatives in pricing and multi-product strategies, and mentor team members. You will partner with various departments to create an analytics roadmap, design A/B tests, and continuously improve data practices.
The Director of Data Engineering will lead the optimization and scaling of Pendulum's data infrastructure, ensuring reliable data pipelines and compliance with governance standards. They will mentor a data engineering team, drive data strategies aligned with business goals, and support AI/ML initiatives.
The Senior Data Science Consultant will collaborate with clients and internal teams to analyze data, build predictive models, and derive insights. Responsibilities include data acquisition, modeling, presenting findings, and contributing to internal projects while working with advanced analytics and machine learning techniques.
The Senior Trading Analyst at Swish Analytics will manage client risk, oversee depth chart accuracy, and conduct strategic research on betting trends. The role requires a strong understanding of sports betting and the ability to turn data into actionable insights while working flexibly to cover various schedules.
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