Top Remote Analysis Reporting Jobs in San Francisco, CA

The Senior Model Risk Analyst conducts independent validations of models, collaborates with model owners, reviews performance, and assists with regulatory audits. They document validation findings and ensure effective communication with stakeholders, all aimed at maintaining model compliance and performance standards.

As a Senior People Systems Analyst at Block, you will support the Workday platform by delivering process documentation, configuration, and solutions for business stakeholders. Responsibilities include analyzing data, improving workflows, testing, training, and post-implementation support while working with cross-functional teams to optimize the People systems.

The Software Services Data Analyst is responsible for gathering and analyzing data from various systems to provide insights that address business challenges, focusing on client and KPI trends, revenue opportunities, and data workflow automation.

The Staff Analyst, Growth Analytics will drive insights and data infrastructure for borrower acquisition and retention, collaborate across teams, and enhance growth analytics capabilities, while mentoring junior analysts.

The People Analytics Consultant will deliver actionable insights to inform strategic talent decisions. Responsibilities include leading complex analytics projects, building strong relationships with HR stakeholders, and driving the adoption of people analytics solutions. The role emphasizes data storytelling and translating insights into actionable recommendations.

The Senior Commission Analyst at CDW calculates and analyzes commissions earned by Sales coworkers, prepares commission payments, ensures data accuracy, designs reporting analyses, and supports Sales and Finance for commission-related inquiries. The role also involves user acceptance testing and improving commission processes. Training Sales coworkers on compensation changes is also part of the responsibilities.

The Senior Applied Scientist at Thumbtack will lead applied science initiatives focused on machine learning, optimization, and statistics. Responsibilities include architecting and deploying machine learning systems, conducting data analysis, collaborating with engineers, and technical mentorship.