Top Senior Level Data & Analytics Jobs in Chicago, IL

As a Senior Data Engineer II at Upside, you will lead the development of consumer marketing and attribution features. You'll collaborate with marketing and product teams, utilizing your skills in engineering and cloud technologies to enhance the consumer app experience.

As a Solutions Architect, you will work directly with clients to understand their business requirements regarding Microsoft Data and AI solutions, create high-level designs, develop proposals, and oversee delivery while ensuring profitability for CDW. Responsibilities include client engagement, sales support, architecture documentation, relationship management, and contributing to intellectual property development.

Lead operations accounting at a CPG facility, manage financial reporting, analyze costs for potential savings, support budgeting and forecasting, conduct financial analysis, and collaborate cross-functionally to meet business needs.

The Director of Business Analytics will lead a team to deliver analytics that drive business insights across pricing, marketing, and product domains. Responsibilities include developing data strategies, managing visualization tools like Looker and Tableau, monitoring performance trends, collaborating with cross-departmental stakeholders, and inspiring team performance through strategic leadership.

Lead and contribute to the advancement of a modern data lakehouse, develop data models, manage project life cycle activities, collaborate with team members, and mentor other engineers. Must have experience with Databricks and proficiency in Databricks, Microsoft Azure Data Factory, Python, and t-SQL.

The Assistant Director, Index Analytics is a specialist in financial data analysis and index methodology. Responsibilities include conducting financial analysis, manipulating large datasets, preparing reports, and collaborating with team members and clients. The role requires expertise in quantitative methods and data manipulation.

As a Senior Staff Data Engineer, you will design and develop data pipelines and products, working closely with various stakeholders to build solutions that integrate and maintain data. Your role includes enabling analytics, implementing data models, evaluating technologies, and promoting best practices within the team.