Top Hybrid Data & Analytics Jobs in Chicago, IL
The Associate Index Analyst assists in the daily maintenance of CRSP real-time indexes, processes corporate actions, verifies data, and supports Index Analysts. Responsibilities include ensuring accurate calculations of total returns for indexes by reconciling corporate actions like dividends and stock splits.
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Quantitative Researchers at Belvedere Trading develop analytical models to enhance options pricing and risk management. They run tests for traders, research academic literature, and apply statistical methods to generate quantitative strategies. Required skills include proficiency in Python and other programming languages along with strong analytical capabilities.
The Data Scientist II at Caterpillar Inc. collaborates with analytics teams to develop data-driven solutions using quantitative methods. Responsibilities include data manipulation and management in a cloud environment, model building with Machine Learning and NLP, and communicating findings through data visualizations and dashboards. The role also involves mentoring junior staff and contributing to the integration and improvement of data pipelines.
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As a Product Information Analyst at Zoro, you will manage and analyze product information for accuracy and completeness, collaborate with teams to provide insights, perform data analysis using SQL or Python, develop reports and dashboards, and ensure data integrity through quality checks.
The Associate Principal, Data Analytics Engineering will lead efforts to enhance OCC's analytics capabilities by managing internal corporate data and its accessibility for analysts. Responsibilities include designing and building an analytics data warehouse, automating data processes, integrating data from various sources, ensuring data quality, and creating data visualizations. The role requires collaboration with business and technical teams to enable data-driven decision-making and promote data literacy. The ideal candidate should have strong communication skills and a commitment to continuous learning in data analytics best practices.
In this role, you will enhance and test models for lending and verification procedures, conduct ad hoc analyses, interpret and communicate data effectively to support risk management, marketing, and operations. You will work alongside a large analytics team utilizing various programming tools for data-driven analysis.
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The Operations Support Analyst at Allwyn will manage and prioritize escalated incidents, ensuring swift resolutions to minimize business impact. The role requires effective communication with internal and external stakeholders, coordination with vendors, and adherence to ITIL processes. The individual will also analyze incidents, develop solutions, and maintain service delivery documentation.
The Associate, Fraud Analytics will develop and implement fraud rules using data analytics, create dashboards, and analyze data to identify fraud trends. This role involves communication with stakeholders, data wrangling, model strategizing, and presenting insights to senior management.
The Data Analyst will support product managers and tech leads in developing securities-based lending systems, ensuring quality and timely implementation of client projects. Responsibilities include defining testing plans, conducting data analysis for product deployment, and participating in process improvement projects.
The Senior Staff Data Engineer will design and develop scalable data pipelines, integrate complex data sets for analysis, and build data products on a cloud-native platform. Responsibilities include collaborating with teams to implement data models, ensuring data quality, mentoring, and advocating best practices in data engineering.
Top hybrid Companies in Chicago, IL Hiring Data + Analytics Roles
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