Top Data & Analytics Jobs in Chicago, IL

Lead analytics for digital information architecture and navigation: define measurement strategy, drive data instrumentation, design and analyze A/B experiments, monitor customer navigation metrics, partner with product/tech and credit teams, and mentor 1-2 analysts to improve digital experiences and business outcomes.

Lead a team delivering enterprise-wide model risk reporting and AI-driven automation. Build and deploy scalable ML/AI solutions, conversational reporting, multi-agent workflows, and centralized data integrations. Drive analytics strategy, validate models and data, improve reporting and operational efficiency, and collaborate across business units.

The Senior Data Analyst will innovate data solutions, provide business intelligence insights, and ensure data quality management while utilizing various data technologies.

As a Principal Associate Data Scientist, you'll build machine learning models to enhance credit card customer acquisitions, working with cross-functional teams to deliver data-driven insights.

The Senior Business Analyst will analyze business challenges, support marketing and credit risk initiatives, and collaborate with multiple departments to enhance performance and strategy execution, leveraging analytics and problem-solving skills.

As a Principal Data Analyst, you will drive workforce analytics initiatives, develop self-service data tools, and ensure data quality, leveraging various programming and data visualization tools.

As a Lead Data Engineer, you'll design, develop, and deploy data solutions using various programming languages and cloud technologies while collaborating with Agile teams, mentoring others, and conducting code reviews.

As a Lead Data Engineer, lead development in actionable technical solutions within Agile teams, utilizing expertise in programming, big data tech, and cloud-based data services.

The Senior Lead Data Engineer will drive major technological transformations, lead development teams, and design innovative data solutions while utilizing cloud services and big data technologies.

Lead technical strategy and architectural evolution in marketing technology, mentoring teams and driving innovative solutions across data engineering and platforms.