Top Analytics Jobs in Chicago, IL

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 Employee Technology Support Analyst will provide IT Service Desk support for approximately 2000 employees. Responsibilities include managing support tickets, facilitating audio-visual services, providing hardware and software support, and maintaining asset management databases, all while delivering exceptional customer service.

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.