Top Remote Senior Data & Analytics Jobs in San Francisco Bay Area, CA

As a Senior Data Analyst at Vouch, you'll develop data structures and frameworks, conduct stakeholder discovery, collaborate with various teams, and lead data projects to enhance data-driven decision-making across the organization.

The Data Warehouse Analyst will focus on Data Quality, Analytics Governance, and Security, conducting complex analyses to identify data quality risks, ensuring compliance and governance in data management, and facilitating stakeholder management for data control initiatives. The role involves designing frameworks for data standardization and creating complex SQL queries for data metrics.

As the Head of Data at Philo, you'll lead a team of Data Scientists, Data Engineers, and Data Analysts to enhance data-driven decision-making across the organization. You will collaborate with various departments to deliver insights from our extensive data pipeline and oversee the execution of data projects related to user engagement and content personalization.

You will lead Workday configuration, enhance business processes for hiring and job changes, build complex reports, and collaborate with HR and compensation teams to improve system integration and efficiency. You'll also identify process improvement opportunities and implement custom report modifications.

The Senior Product Analyst will collaborate with product and engineering teams to define analytics requirements, understand user behavior, design experiments, and drive strategy through data insights. They will empower business stakeholders by delivering analytics and insights that enhance decision-making and support a data-driven culture.

The Senior Data Analyst will partner with PM and Engineering leaders to define and monitor key metrics related to product performance, develop automated dashboards for executives, and collaborate on data integration efforts, focusing on causal attribution of performance improvements.

Lead and contribute to advancing a modern data lakehouse, translate requirements into effective data models, develop in data technologies, manage project life cycle activities, mentor team members, and provide on-call support as needed.