Top Data & Analytics Jobs in San Francisco, CA
The role involves building scalable data solutions and performing data analysis to derive business insights. It focuses on collaborating with product managers and other data scientists to optimize user growth strategies and developing robust data infrastructure in a growth-oriented environment.
As a Data Scientist, your role involves building and improving models to identify credit risk, optimize marketing spending, and predict customer churn. You'll work with structured data, create classification models, and collaborate with Product and Engineering teams.
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The Senior Manager will oversee fraud risk management within Navan’s travel and expense management sectors, focusing on enhancing fraud detection, prevention, and investigation capabilities. Responsibilities include reviewing current risk management processes, developing strategic management programs, partnering with industry professionals, and leading multiple analytics projects to drive fraud insights.
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As a Business Intelligence Engineer at Snap, you will analyze data from multiple sources to provide insights that support business decision-making and optimization of advertisement performance. Your role involves creating data-driven reports, collaborating with cross-functional teams to shape measurement strategies, and identifying trends to influence revenue growth.
The Sr. People Data Analyst role focuses on leveraging data to improve employee engagement and retention. Responsibilities include analyzing people data, developing dashboards and metrics, and collaborating with HR leaders to provide actionable insights. The analyst will also ensure data integrity and use visualization tools to communicate findings effectively.
The role entails using data and technology to enhance marketing operations by generating insights. Responsibilities include data analysis using SQL and Python, building revenue optimization models, aligning marketing planning with corporate strategy, and defining KPIs for performance measurement.
The Compliance Analyst will assess global compliance risks and controls, identify gaps, document testing results, and prepare reports. They will support the development of testing methodologies and monitor compliance against regulations. The role includes training development and answering external inquiries.
The Lead, Employee Listening & Advanced Analytics at Klaviyo will co-design and manage employee listening and survey strategies, conduct advanced analytics on employee data, leverage innovative listening channels, and provide insights to drive talent experience and outcomes. The role requires collaboration with senior leaders and management of survey operations while ensuring data privacy and security.
The Compensation Analyst supports the Global Total Rewards team by gathering, analyzing, and delivering compensation programs. Responsibilities include salary planning, market data requests, compensation research, and assisting with the global year-end compensation process. The role requires strong analytical skills to evaluate compensation trends, maintain compliance, and communicate findings effectively.
As a Principal Applied Scientist, you will lead the delivery of AI products, collaborate with ML engineers, improve data quality and usability, and engage in public-facing content to enhance Xero's profile. The role requires a focus on creating impactful, customer-facing ML and AI solutions while emphasizing high-quality code from the outset.
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