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Top Data & Analytics Jobs in Chicago, IL
As a Senior Data Engineer, you will design and develop data pipelines to automate data flows between client systems and Arcadia's analytic platform. You will collaborate with the Data Engineering team, ensure high-quality delivery of projects, and contribute to process improvements while communicating effectively with team members and stakeholders.
The Sr. Data Engineer at CNA will design, develop, and integrate large-scale data processing systems on Google Cloud Platform. This role includes building data pipelines, ensuring data integrity, and applying machine learning, while working in an Agile environment to meet business requirements.
As a Data Analytics Senior Consultant at CNA, you will leverage analytical and technical skills to drive business impact by creating automated scorecards and scenario tools for underwriting strategies. Your role involves data analysis for insights, collaboration with underwriting leadership, and recommending business improvements based on data-driven findings.
The Senior Premium Audit Supplier Analyst is responsible for executing CNA's Premium Audit services and managing supplier relationships. This includes vendor workflow support, negotiating contracts, analyzing performance trends, and implementing process improvements. The role involves liaising with various departments to ensure adherence to service levels and effective issue management.
The Oracle Cloud Financials Analyst will support the global rollout of Oracle Cloud ERP, manage business requirements for multiple Oracle modules, respond to user tickets, and create reports for financial operations. They will collaborate across teams for system solutions, conduct user training, and promote robotic process automation.
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The Senior Manager in Data & Analytics at PwC is responsible for creating and implementing robust data solutions that transform raw data into actionable insights. This role involves leading complex projects, coaching teams, and ensuring high-quality delivery while managing client relationships and expectations.
The Applied AI/ML Lead will analyze business problems and develop machine learning and deep learning solutions. Responsibilities include leading AI/ML initiatives, collaborating with teams to define problems, and creating end-to-end ML pipelines. The role requires extensive knowledge of ML models, data science practices, and experience in deploying models in production settings.
As a Data Scientist, you will analyze complex supply chain data, develop predictive models, and provide insights to optimize supply chains. You will work with cross-functional teams, apply statistical models and machine learning techniques, and communicate findings to diverse stakeholders.
The Junior Market Intelligence Analyst will support the sales team by preparing pitch decks, providing insights on market trends, and developing a deeper expertise in the electricity and natural gas markets. Responsibilities include creating high-quality presentations, addressing client inquiries, and contributing to market analysis.
The Supply Chain Consultant will work on pharmaceutical CMC development projects, leveraging quantitative skills to solve business analytics questions, managing teams, and serving as a subject matter expert during client discussions.
The Associate Scientist for Packaging Development at Kraft Heinz will lead and support packaging initiatives from concept to commercialization, collaborate with cross-functional teams, conduct experiments, and manage timelines to innovate and optimize packaging solutions for various brands.
The Director of Cyber Strategy and Analytics will lead efforts to develop McDonald's cybersecurity strategy, focusing on analytics and metrics to assess performance and risk. This role involves collaborating with various teams to drive security initiatives, manage resources, and ensure compliance with cybersecurity policies.
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