Top Hybrid Senior Level Data & Analytics Jobs in Chicago, IL

Responsible for driving data-driven insights and optimizing the Partner Portal's performance by collecting, analyzing, and interpreting web data to improve user experience, conversion rates, and financial objectives. Collaborates with cross-functional teams to align analytics efforts with business goals and ensures compliance with data privacy regulations.

The Principal Data Architect is responsible for executing the vision and strategy for the organization's use of data. They lead cross-functional teams, define data architecture roadmap, ensure data solutions align with business requirements and policies, and choose toolsets for data storage. The role involves translating business requirements into data models, designing data pipelines, and leveraging cloud tech stack.

Senior Program Manager role at Keeper Security, responsible for optimizing data infrastructure, leading analytics initiatives, and providing data-driven insights to drive business growth. Fully remote position with a hybrid option in specified locations. Requires 6+ years of experience in program management, proficiency in AWS, SQL, Tableau, and a strategic mindset for leveraging data for business success.

Design, develop and deliver data products to production, solve technical problems, define and extend data architecture standards, mentor team members, propose ideas for improvement, implement ETL processes, work closely with Data Scientists and Product Managers.

Seeking an Associate Director IT, Analytical Platforms to manage all analytical platforms globally at Kraft Heinz. Responsible for projects, operations, budgeting, and technical migration projects related to analytical platforms. Collaborates with teams on planning and optimizing technologies in the analytical space.

Lead multiple software engineering teams at a financial institution and guide them in solving business problems through innovation and engineering practices. Manage day-to-day implementation activities, stakeholder relationships, and compliance standards. Create a culture of diversity and inclusion within the teams.

The Director of Data Science at McDonald's will lead a team of analysts and data scientists in building statistical, ML, and AI models to solve the organization's biggest challenges. This role involves cross-functional collaboration with various teams across the enterprise and driving data-driven transformation strategies.