Top Data & Analytics Jobs
The Business Intelligence Engineer analyzes data to provide actionable insights that help the business make informed decisions. Responsibilities include collating information from various sources, identifying performance trends, working with dashboards, influencing client decisions, and collaborating with cross-functional teams.
This role involves leading a team in optimizing systems for lift measurement and incrementality optimization, defining system architecture, conducting lift analysis, and promoting best practices in causal inference and experimental design. The manager will also collaborate with cross-functional teams and senior leadership to provide strategic recommendations based on data insights.
Lead a team of machine learning engineers and software engineers in developing and optimizing iconic Snap functionalities. Collaborate to integrate new signals, define solution architecture, and maintain robust ML infrastructure. Conduct A/B testing and drive technical excellence through design reviews and mentorship.
The Principal Machine Learning Engineer will design and implement machine learning components, build a large-scale training framework, optimize model performance with GPUs, and develop an AutoML platform. They will collaborate across teams to meet product requirements and ensure high availability and scalability.
As a Machine Learning Engineer at Snap Inc, you will develop models using LLMs for various applications, promote new features, evaluate technical decisions, conduct code reviews, and ensure high code quality while building scalable products.
The Sr. Specialist, Business Intelligence at Snap Inc. will analyze data to provide insights for decision-making, optimize campaigns, and influence client success. They will collaborate with cross-functional teams, maintain dashboards, and identify revenue-influencing projects. The role requires proficiency in SQL, Python, and R, along with 5+ years of experience in quantitative analysis and research.
The Senior Workday Configuration Analyst will configure and maintain Workday modules, lead implementation projects, troubleshoot issues, and provide recommendations for system optimizations while supporting user acceptance testing and reporting.
The Senior Workday Configuration Analyst will configure and maintain Workday modules, implement process improvements, lead projects for upgrades, translate business needs into technical requirements, and provide support for configuration issues. They will also generate advanced reports and facilitate user acceptance testing.
The Senior Workday Configuration Analyst will configure and maintain Workday modules, provide process improvement recommendations, oversee implementation projects, support system upgrades, troubleshoot issues, and create reports. They will ensure that configurations align with business objectives and facilitate user training.
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