Top Mobile Data & Analytics Jobs in Chicago, IL

The Senior Business Systems Analyst leads lifecycle projects, elicits requirements, and serves as an SME for Sales and Marketing technology. Key responsibilities include optimizing applications, conducting process analysis, and collaborating with engineering for solutions.

In this role, you will automate workflows, analyze data, and support strategic planning to enhance GTM operations using AI-driven insights.

The Senior Data Analyst will perform strategic analyses, develop key business metrics, and collaborate with various stakeholders to interpret data related to Chime's performance and member interactions.

The Lead, Sales Analytics & Business Intelligence will analyze data, drive business strategy, and provide insights to enhance sales growth and profitability.

Lead the Supply Intelligence function, driving strategy, execution, and partnerships to optimize auction performance and revenue growth while coaching a team of analysts.

The Analyst I role involves data analysis, risk modeling, collaboration with teams to develop underwriting models, and utilizing statistical techniques for credit strategy optimization.

The Senior Fraud Data Analyst develops data-driven fraud decisioning strategies, analyzes large datasets, and collaborates with stakeholders to enhance fraud prevention and optimize detection accuracy.

The Sr Quantitative Finance Analyst conducts quantitative analytics, leads model development, and oversees risk management processes while collaborating with various stakeholders.

The Data Engineer designs, develops, and maintains data architecture and pipelines, collaborates with teams to generate insights, and leads the implementation of analytics tools to optimize productivity.

The Lead Analyst will enhance People Technology in Total Rewards, manage projects, implement automation, and support stakeholder collaboration.

Lead data governance initiatives, enhance data quality, mentor analysts, automate data controls, and advocate for governance across teams while solving complex data issues.