Top Data & Analytics Jobs in Chicago, IL

The IT Business Analysis, Sr Specialist is responsible for formulating and defining system scope and objectives based on user needs and business requirements. They lead project teams, collaborate with stakeholders, and develop strategies for project deliverables. The position requires a solid understanding of the insurance industry, business operations, and system development life cycle. This is a hybrid position located in Chicago, IL.

As a Senior Associate Vulnerability Analyst, you will analyze and assess technologies and build expertise across the compliance, vulnerability, and threat landscape. Actively manage and escalate risks and customer-impacting issues within the day-to-day role to management. Learn cybersecurity concepts and assess production systems to understand the impact of vulnerabilities.

Develop predictive models using machine learning and algorithms to support business partners at Discover. Present results of mathematical modeling and data analysis to management. Actively manage and escalate risk and customer-impacting issues. Research and leverage state-of-the-art modeling techniques.

Monitor and manage Technology Risk by providing enterprise-wide oversight and governance for technology risk management activities within the Company. Assist with the execution of various risk frameworks across the organization. Identify, assess, and report on risk-related activities. Drive effective collaboration on Technology Risk management related activities.

A Staff Consultant/Engineer with deep technical expertise in implementing BI and DWH projects. They are proficient at managing small projects and have the ability to gain customer confidence. They are responsible for conducting evaluations, developing testing strategies, integrating source systems, managing client expectations, and producing high-quality project documentation. Additionally, they are involved in training and mentoring junior consultants.

Execute Business Intelligence Solutions & Insights initiatives to uncover trends, deduce insights, solve business problems, and drive long-term business results. Responsibilities include driving the business analytics agenda, partnering with System Analyst/Data Engineer, developing data solutions, performing root cause analysis, and maintaining analytical tools.

The Global Cybersecurity Governance Analyst will be responsible for managing and reviewing cybersecurity policies, frameworks, controls, and awareness training. They will assist in establishing governance strategies, objectives, and metrics for cybersecurity. Qualifications include a BS or MA in Business, Computer Science, Information Security, or related field and at least 2 years of experience in information security with a focus on cybersecurity governance.

Develop and maintain ESG intelligence dashboards, sustainability databases, and analytical tools. Coordinate internal control documentation, data analysis, and ESG scorecards. Lead global collaborators in ESG data collection process. Research ESG regulation and reporting frameworks.

The Director of Data Science at McDonald's will lead a team of analysts and data scientists in building statistical, ML, and AI models to solve the organization's biggest challenges. This role involves cross-functional collaboration with various teams across the enterprise and driving data-driven transformation strategies.

Partner with the Cash App Health organization to analyze large datasets, surface actionable insights, and drive meaningful change to protect customers and their money. Conduct statistical modeling, design A/B experiments, and build metrics for strategy. Communicate findings with cross-functional teams and create data visualizations for partners.

Machine Learning Engineer role at Cash App focusing on building machine learning models for fraud detection, customer support automation, and underwriting and credit evaluation. The role involves experimenting with state-of-the-art algorithms, using NLP for contextual inquiries, and integrating ML solutions for evaluating customer risks.

As a Fraud Decision Scientist at Afterpay, responsible for key KPIs for the company's loss metrics with a balance of customer experience. Tasks include setting goals, strategy creation, and collaboration with various teams. Responsibilities also involve detecting fraud trends, writing rules, and monitoring solution performance. Qualifications include 3 years of experience in quantitative fields, fraud risk solutions, data analysis, and strong time management skills.