Top Hybrid Data Analysis Jobs in Chicago, IL

The Sr Associate, Fraud Analytics will analyze data to identify fraud trends, develop strategies, and utilize machine learning models for fraud prevention while collaborating with stakeholders across the company.

Analyze customer and merchandising data, build data pipelines and reports, write clean queries and code, conduct statistical analyses to identify trends and opportunities, and validate key metrics to inform business decisions.

Lead data analysis projects to help merchant partners understand Upside's impact, manage analytics relationships, and improve product strategy.

As a Quantitative Researcher, you will design, test, and deploy quantitative models, collaborate with traders, and enhance existing trading strategies to improve profitability.

The Actuarial Analyst role involves supporting pricing and analytical capabilities, conducting profitability analyses, and collaborating with underwriting teams to inform strategic business decisions.

The Data Analyst oversees Salesforce administration, advanced data management, reporting, and integrations, utilizing SQL and Python to deliver insights and streamline operations.

The role involves leading advanced data analysis to provide consumer insights and strategies for predicting market demand, influencing senior leadership, and developing demand science processes.

The Associate Actuary will engage in various assignments involving M&A consulting, financial modeling, valuation, and actuarial due diligence, aiming to enhance client service and strategic decision-making.

The Quantitative Researcher for Monetization will develop strategies for market opportunities, optimize performance using data, and apply machine learning in financial energy systems.

The Data Analytics Manager analyzes complex datasets for private equity and corporate clients, providing insights for transactions, guiding due diligence, and mentoring junior team members.