Top Hybrid Data & Analytics Jobs in Chicago, IL
Lead meetings with cross-functional teams to drive decision-making and alignment on supply forecasts. Set key target levels across supply chain, assess safety stock need, and establish inventory strategy for key items. Develop and execute supply step in Sales and Operations Planning process.
The Sr. Data Product Analyst at Chamberlain Group will collaborate with business partners to develop data-driven solutions, create data models and dashboards, ensure data accessibility, and lead data product adoption. The role involves acting as a subject matter expert in data products and influencing business decisions through data insights.
The IT Customer Experience Analyst will lead the digital adoption initiatives, focusing on improving user engagement with digital services. Responsibilities include managing the 'Go Digital' campaign, ensuring timely execution of action plans, tracking progress, measuring success, and reporting updates to leadership. The role emphasizes user training and minimizing call escalation to customer support.
The AI Data Engineer will lead the development of datasets for AI training and testing, collaborating with engineering and product teams to define data specifications, optimize processes, and automate the data lifecycle. Responsibilities include managing data annotation quality, gathering various types of data, and improving efficiency in data handling.
As a Global Services Data & Business Analyst, you'll assist the Global Services Business Intelligence & Operations team by conducting quantitative analysis, developing key performance indicators, creating data visualizations in Tableau, and collaborating with various stakeholders to outline project milestones. Your role involves ensuring data accuracy and integrity, as well as automating reports.
The Business Analyst will support the Product Manager in implementing and optimizing LIMS. Responsibilities include gathering requirements, developing user stories, analyzing processes, performing data analysis, collaborating with development teams, and providing training and documentation for users.
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The Revenue Operations Analyst optimizes revenue processes and performance by managing the revenue forecasting tool, analyzing sales data, and reporting performance metrics. This role involves enhancing sales operations through data-driven insights and collaborating with sales teams to improve forecasting accuracy and sales processes.
The Business Systems Analyst (CPQ) will support Oracle CPQ and its integration with Sales and Marketing processes. Responsibilities include requirement analysis, configuration, testing, troubleshooting CPQ issues, user documentation, and collaborating with global teams to enhance customer experiences using the CPQ platform.
The Data Engineer is responsible for designing, developing, testing, and maintaining complex data solutions. They manage risks, lead code reviews, develop data integration solutions, and participate in agile ceremonies, while mentoring peers and influencing technical decisions across teams.
The Senior Analyst in Talent Acquisition Programs & Optimization will ensure effective execution and compliance of talent acquisition processes, manage vendor relationships, and implement recruitment technologies. This role involves coordinating projects, conducting audits, and enhancing compliance across recruitment, requiring strong analytical and problem-solving capabilities.
The Digital Strategy and Advisory Practice Lead at ZS will drive digital strategy and advisory services focused on healthcare clients. This role involves enhancing ZS's technology expertise with client leadership and building teams that deliver impactful advisory solutions, contributing to significant growth within the firm's digital and technology group.
In this role, you will lead teams in developing AI and Generative AI solutions, focusing on data analysis, programming, and managing complex client relationships. You'll take ownership of projects, mentor team members, and drive innovative approaches to solve business problems using advanced analytics techniques.
Responsible for turning raw data into information by building reports and dashboards using Power BI and Power Query. Work as part of a cross-functional team supporting data modeling and report/dashboard development. Complete ad-hoc report/dashboard development to meet reporting and analytical needs. Derive actionable insights through critical analysis and data visualization.
As a Lead Data Engineer at Capital One, you'll collaborate with Agile teams to design and implement cloud-based solutions. You will work with machine learning, distributed microservices, and full-stack systems, while mentoring fellow engineers and driving technology transformations.
Top hybrid Companies in Chicago, IL Hiring Data + Analytics Roles
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