Top Data & Analytics Jobs in Chicago, IL

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.

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 Sr. Data Operations Engineer at Beyond Finance will support the data engineering and business intelligence teams, focusing on data sharing, improving SQL queries, assessing database performance, responding to support queries, developing ETL code, and maintaining data security. Key responsibilities include troubleshooting, managing data flow, and collaborating with various stakeholders.

The Third Party Security Analyst at Block will review vendor requests, establish risk profiles, conduct research on vendor use, and perform due diligence activities. They will synthesize information from various sources, manage multiple security reviews, and engage with stakeholders to make informed risk-based decisions.

Design and develop models, optimization algorithms, and scalable processes for marketing measurement and audience activation. Utilize big data analytical tools for data extraction. Develop machine learning algorithms for online and offline identity resolution. Work with statistical, data mining, and machine learning techniques to extract actionable information from data.

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.

The Senior Data Engineer will design, develop, and maintain data sourcing, ingestion, and transformation solutions for reporting and analytics. Responsibilities include creating data ingestion pipelines in Databricks, maintaining automation pipelines, documenting processes, and mentoring junior developers.