Top Data & Analytics Jobs in Chicago, IL
As a Data Engineer Manager at PwC, you'll design and implement data solutions, manage data pipelines, and mentor team members. You'll lead projects ensuring quality and performance, while collaborating with stakeholders to identify data needs. Your role will emphasize leveraging technology and innovative practices to enhance data delivery.
As a Publishing Analyst, you will curate product offerings based on supplier feedback, analyze customer experience insights, and propose improvements for product presentation on the website. This role emphasizes research and effective communication, while contributing to various initiatives aimed at enhancing publications.
Perform control testing and assess compliance with oversight and procedures, collaborating with business owners to create remediation plans. Evaluate controls' effectiveness using standard templates, deliver findings to management, and recommend control enhancements. Maintain compliance with regulatory requirements and contribute to risk management efforts across the organization.
The Business Analyst will leverage data and analytics to inform decision-making and support business strategies. Responsibilities include creating dashboards, conducting data analysis, and presenting insights to stakeholders. Key tasks involve managing data extraction and ensuring data quality for performance reporting and operational efficiency improvements.
Responsible for facilitating the procurement process, optimizing procurement processes, managing buy desk operations, analyzing procurement data, and ensuring compliance with company policies. Collaborate with internal departments to align procurement strategies with organizational goals and develop key performance indicators for efficiency measurement. Develop recommendations for improvement based on metrics and support operational procurement execution. Ensure compliance with Bank Secrecy Act and all applicable laws.
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As the Digital Adoption Lead, you will drive the 'Go Digital' campaign aimed at enhancing digital adoption among users. Responsibilities include aligning with teams on action ownership, monitoring progress, reporting to leadership, and leveraging data to prioritize support requests that can shift to digital self-service.
The AI Data Engineer will develop datasets for training and testing AI models, collaborating with engineering teams to define data specifications, optimize processes, and ensure data integrity. Attention to detail and automation of workflows are crucial in managing data acquisition, annotation, and conversion.
The role involves working with the Global Services Business Intelligence & Operations team to solve business problems through data analysis, development of metrics and dashboards, and financial modeling. Key responsibilities include gathering requirements, creating data visualizations in Tableau, and ensuring data integrity across multiple sources.
The Business Analyst role at Arcadia involves working at the intersection of healthcare, technology, and business strategy, focusing on driving product innovation and providing actionable business insights to improve customer success and product performance.
The Data Analyst role in the Life Sciences Division of Arcadia involves conducting complex data analysis, uncovering trends, and supporting strategic decisions. Responsibilities include expertise in healthcare data, advanced analytical capabilities, and collaboration with the Strategic Partnerships team to grow partnerships and drive data-driven insights.
As a Data Engineer at Arcadia, you will design and document data connector/ingestion pipelines, build and test these connectors, and support multiple customer implementations. You will collaborate with your team in Scrum ceremonies, contribute to code reviews, and be responsible for timely project deliveries.
Quantitative Researchers at Citadel develop models and trading strategies through advanced statistical techniques. They back test models, utilize unconventional data sources for innovation, and refine monetization systems for trading signals, all in a fast-paced team environment.
The role involves developing advanced models and trading strategies using statistical techniques, backtesting and implementing trading models, conducting research, and using unconventional data sources for innovation. Analysts will translate mathematical models into code and refine monetization systems for trading signals.
The Quantitative Researcher will use advanced statistical and quantitative modeling techniques to build predictive models and optimize multi-asset portfolios. They will conduct innovative research to solve real-world financial problems and analyze market dynamics.
The Senior BI Analyst will provide actionable financial insights to support decision-making within the Go-To-Market function. Responsibilities include developing financial models, collaborating with business partners for forecasts, delivering insights through data visualization, and communicating effectively with cross-functional teams to improve business outcomes.
This role focuses on developing risk strategies and policies for consumer lending products, optimizing portfolio performance through data-driven initiatives, and leading a team of risk analysts. The director will work with senior leadership to manage expectations and provide insights based on KPIs and advanced data analytics.
The People Analytics Manager will design and develop HR and Recruiting dashboards to visualize workforce metrics. This role includes managing a team, overseeing data quality, collaborating with internal teams to understand customer needs, and mentoring team members in data visualization and analytics.
As a Sr. Analyst Inventory / Supply Planner, you will lead meetings with cross-functional teams to drive supply forecasts, set inventory levels, and develop market-driven inventory strategies. You will collaborate with Inventory and Purchasing teams and ensure effective execution of supply and demand plans while adhering to health and safety standards.
The Sr. Data Product Analyst will collaborate with business partners to develop data-driven solutions, ensuring accessibility and understanding of data products. This role involves building data models and dashboards, driving the adoption of data solutions, conducting product research, and mentoring team members.
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