Top Data & Analytics Jobs in Chicago, IL
The Square Banking team is looking for a Staff Data Engineer to help build a Financial Data Mesh Platform using real-time Big Data technologies. Responsibilities include designing data processing systems, building datasets, addressing data quality issues, and collaborating with cross-functional teams.
Join Square as a Senior Machine Learning Engineer specializing in attribution space within the Measurement Machine Learning teams. Develop cutting-edge ML models and algorithms to provide insights for strategic investment decisions. Collaborate with various stakeholders to inform growth strategy with data-driven attribution solutions.
Senior Pricing Analyst responsible for conducting quantitative and qualitative pricing analysis, generating pricing reports, and providing pricing data to management. Must have 4-8 years of related work experience and a degree in business, finance, marketing, or a related discipline.
As the Senior HR Analyst at Kraft Heinz, responsible for driving HR activities and programs, analyzing data, leading strategic projects, managing talent processes, handling employee relations, and demonstrating dedication to diversity and inclusion.
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Lead the development of Large Language Models for Enterprise Language Generation to power AI experiences on the NOW platform. Collaborate with engineering and product teams, build elegant architectures, architect reusable components, and influence leadership on AI strategies and trends.
Coordinate the planning and execution of Disaster Recovery and Business Continuity tests across McDonald's technology landscape, develop technology resilience plans, propose strategies to minimize impact and recover critical functions, coordinate exercise and maintenance programs, and interact with global teams and technology partners.
The Sr. Data & Reporting Analyst at Applied Systems will be responsible for transforming people data into reports and visuals to facilitate informed decision-making. They will collaborate with stakeholders to define requirements, design and maintain reports and dashboards, analyze trends, conduct ad-hoc analysis, ensure data integrity, and lead data transfer projects.
Senior Data Scientist role focusing on marketing analytics and optimization for a SaaS company. Responsibilities include evaluating and improving marketing measurement, developing quantitative models, analyzing customer behavior data, and collaborating with cross-functional teams. Requires a Bachelor's degree in a quantitative discipline and 5+ years of experience using analytics for business decisions.
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Responsible for transforming data into actionable insights to optimize growth strategies and cost reductions in the global trade industry. Collaborate with stakeholders to drive visibility and influence the roadmap for Data Analytics department. Requires 5+ years of experience, strong SQL fluency, familiarity with scripting languages, and executive communication skills.
Develop and own credit risk strategies for new lending products, analyze portfolio performance trends, conduct A/B testing, and communicate business strategies to senior management.
Managing calls across a network of contact centers, updating agent profiles, preparing staffing reports, analyzing historical trend data, and optimizing workforce in contact center environments.
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