Top Senior Analytics Jobs in Chicago, IL

The role involves developing fraud rules, running analytical models, monitoring KPIs using visualization tools, and collaborating with stakeholders to improve fraud detection strategies.

The Senior Data Analyst will perform strategic analyses, develop key business metrics, and collaborate with various stakeholders to interpret data related to Chime's performance and member interactions.

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.

Lead a data science and analytics team for Netflix's game product and platform. Responsible for measurement, experimentation strategies, and coaching the team to deliver insights vital for games strategy.

As a Principal Data Analyst, you'll lead credit analytics efforts, develop forecasting models, and collaborate with multiple teams to enhance Upstart's credit platform.

Lead analytical projects to optimize loan portfolio and pricing strategies, develop machine learning models, and collaborate across teams to drive growth.

Design and optimize fraud detection rules, managing libraries and workflows, collaborating with teams for analytics, and providing strategic insights.

As a Manager of Risk Analytics, lead a team focusing on account security, implement risk strategies, analyze data with SQL, and collaborate to enhance security measures.

Lead AML Analytics in assessing and mitigating AML risks, design and oversee analytics solutions, and collaborate across teams for compliance and reporting.

The Sr. Game Data Analyst will lead data initiatives, optimize live games, and provide insights for player engagement and acquisition in mobile gaming.

The Clinical Modeling & Analytics Innovation Lead develops advanced predictive models and leads data-driven initiatives utilizing AI/ML and analytics to optimize clinical trials while collaborating across teams to enhance trial outcomes.

The scientist will use advanced analytics, AI/ML, and modeling to innovate clinical trial design and execution, optimizing drug development processes.

The Senior Data Analyst will lead menu analytics, optimize customer engagement, model menu performance, and provide actionable insights to enhance product experience.

The role involves leading meteorological research for catastrophe models, applying hybrid modeling approaches, analyzing weather data, and collaborating on risk analytics solutions.

The role involves developing predictive models for catastrophe risk using advanced analytics, machine learning, and statistical techniques. Responsibilities include analyzing large datasets and collaborating on financial risk modeling to enhance accuracy. The individual will document processes and ensure consistent modeling methodologies are upheld.

The Head of Strategy, Analytics, and Optimization will lead analytics efforts in simplifying agricultural lending processes, focusing on risk management, automation, and business growth. Responsibilities include developing models, overseeing teams, and ensuring adherence to regulations.

The role involves leading pricing strategy and analysis for auto lending, collaborating with cross-functional teams to enhance pricing models and drive profitability.

The VP, Data Science and Campaign Analytics will lead data-driven initiatives, develop predictive models, support campaign execution and analysis, and ensure compliance with analytics governance.

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.

As a Senior Data Analyst, you'll partner with business stakeholders, conduct data analysis, and write complex SQL queries while collaborating in an Agile environment.

Seeking a Strategic Data Analyst & Global Compensation Consultant to provide insights on HR data, develop compensation strategies, and drive organizational performance through data storytelling.

The Actuarial Consultant will lead pricing initiatives, collaborate with technology and data teams, and perform complex actuarial analyses for Personal Lines products.

The Senior Operations Analyst will analyze data to identify trends, develop strategies for operations, and collaborate with various stakeholders to improve processes and metrics.

The Credit Analyst will develop credit risk strategies, manage decision strategies, analyze credit trends, and collaborate with multiple teams to ensure compliance and profitability in credit processes.

The Global Strategic Feasibility Analytics Lead develops feasibility data analytics initiatives, transforms data into insights, collaborates with stakeholders, and drives data-driven decision-making for study planning.