Top Remote Analysis Reporting Jobs in Chicago, IL

In this role, you'll work as a Risk and Controls Analyst for Cash App, establishing risk and compliance frameworks, conducting gap analyses, documentation, and enhancing control programs. You'll collaborate with various teams to ensure compliance with policies and regulatory standards, improving control metrics and dashboards, and support product development with effective risk management strategies.

The Risk and Controls Analyst will collaborate with various teams to develop compliance strategies and enhance risk and control measures for Cash App. Responsibilities include creating risk analyses, documenting controls, improving dashboards, and ensuring adherence to regulatory standards.

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.