Top Data & Analytics Jobs in Chicago, IL
Assist in budgeting, forecasting, and financial analysis for departments at Grubhub. Use SQL to analyze data sets, develop financial models, and support strategic initiatives. Collaborate cross-functionally and drive better business decisions through insights and reporting.
The Supplier Fulfillment Analyst will support the fulfillment of the sales order management lifecycle by driving optimal fulfillment activities, analyzing data, and recommending process improvements. They will collaborate with cross-functional teams, communicate with supplier partners and customers, and work to enhance customer experience and organizational efficiency.
Responsible for providing counsel and support to HR on compensation-related matters, policies, practices, and procedures. Collaborates directly with the business to advise and execute on compensation initiatives. Conducts job evaluations, market analyses, and research to support compensation decisions and program recommendations.
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As a Machine Learning Engineer at Dropbox, you will design, build, evaluate, deploy, and iterate on large scale ML systems, collaborate with cross-functional teams, and impact millions of users with personalized experiences.
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.
Renewals Analyst at Fusion's Finance team responsible for managing a Renewals Pipeline, preparing renewal proposals, updating and delivering reports, and assisting the Renewals Director with various responsibilities. Requires attention to detail, multitasking skills, communication skills, and ability to establish strong relationships.
Build predictive models, analyze data trends, support model implementation, develop tools, establish metrics, conduct A/B testing, collaborate with teams, and communicate strategies.
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.
Lead Data Scientist role at John Deere in Chicago, IL, responsible for driving eCommerce growth and enhancing the digital customer experience through data science projects. Lead and execute projects, mentor junior talent, lead code reviews, and collaborate with global teams. Requires 8 years of analytics experience, proficiency in Python, SQL, and advanced data science techniques.
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