Top Data & Analytics Jobs in Chicago, IL

The Lead Econometrician will focus on developing and refining econometric models for market demand and revenue forecasting, build marketing mix models, and analyze complex datasets to derive actionable insights. This role involves collaboration with cross-functional teams and presenting findings to senior leadership, ensuring alignment with business goals.

The Compliance Analyst will ensure regulatory adherence, manage audits, handle compliance workflows, prepare reports, and improve processes. This role involves supporting compliance with federal banking regulations and assessing regulatory changes' impacts.

As a Marketing Technology Analyst, you will lead discovery efforts to gather business requirements for digital marketing campaigns, oversee QA and testing for platform configurations, and act as a point of contact for both internal and client teams. You'll need strong communication skills and the ability to manage multiple projects simultaneously while collaborating with cross-functional teams.

The Senior Data Engineer will empower Amplified with data and insights by connecting data systems to a data lake, maintaining ETL pipelines, creating dashboards, and clarifying business logic into actionable reports. They will work cross-functionally to identify data needs and ensure data hygiene while investigating insights.

As a Data Science Manager, you will lead the development of AI-based enterprise products, drive cross-functional problem-solving, and engage with clients to deliver transformative solutions. You will oversee a team of scientists and engineers, contribute to thought leadership, and shape company strategy in AI.

As a Data Science Manager at ZS, lead the development of AI/ML-based products, architect data solutions, and engage with clients to solve complex problems. Oversee a team in research and design, leveraging advanced AI algorithms, and drive strategies in AI innovations.

As a Principal Data Scientist in the Fraud Intelligence team, you will partner with cross-functional teams to build and maintain machine learning models that combat fraud. Your role involves leveraging a broad tech stack to analyze large datasets, develop ML models, and translate technical findings into actionable business insights.

The Distinguished Data Engineer at Capital One will define the future of banking in the cloud, lead technical strategies, devise solutions for complex problems, mentor talent, and work with cutting-edge technologies in a collaborative environment. Responsibilities also include ensuring data quality and operational platforms.

The Sr. Business Manager will lead the Customer Experience Insights & Analytics team to transform data into insights, develop strategies for customer experience improvement, manage teams, and drive product-level analytics. Responsibilities include strategic planning, marketing, credit risk improvement, product development, and collaboration with various departments to enhance business outcomes.

As a Lead Data Analyst, you will manage and analyze data, providing insights and recommendations to stakeholders. You'll partner with business units to identify data sources and improve analysis methodologies, coach less experienced analysts, and develop standard reports and dashboards.