Top Hybrid Analytics Jobs in Chicago, IL

The Data Science Analyst will work with management on analytical initiatives, developing reports and dashboards while identifying opportunities for business improvement using various analytical techniques. Responsibilities include customer segmentation, optimization, and predictive analytics to enhance strategies and performance.

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 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 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 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.

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 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.