Top Analytics Jobs in Chicago, IL

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

Support Tempus' oncology data licensing by identifying patient cohorts, generating analytics, and maintaining technical processes. Mentor team members and integrate new data sources.

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.

As a Credit Analytics Analyst, you will drive insights into credit performance, develop forecasting models, and collaborate with cross-functional teams to enhance Upstart's lending strategies.

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.

Inovalon seeks candidates to join their Talent Community, emphasizing data-driven solutions to enhance healthcare outcomes and economics.

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.

The Deal Analytics Supervisor will assist in project scoping, conduct financial analysis, design data integration workflows, and collaborate with teams to present findings.

The Senior Associate will enhance and maintain digital platforms, focusing on data analytics to support benchmarking and performance metrics for clients in the middle market.

The role involves leading data analysis projects, mentoring analysts, deriving insights for business stakeholders, and building dashboards and visualizations.

This role involves providing risk analytics support in areas such as Credit and Fraud, leveraging AI for insights, and conducting in-depth data analysis for risk strategies.

The role focuses on managing value-based care analytics, working with providers, analyzing performance, and ensuring compliance with contract terms.

The Senior Analyst will manage data, conduct quantitative analysis, develop business cases, and ensure project deliverables with a focus on client communication and team collaboration.

Analyze mobile application data using Adobe Mobile Analytics, including iOS, Android, and hybrid app analytics. Utilize Sitecatalyst and Omniture for insights.

The Senior Associate, Data & Analytics role involves data analysis, developing data-driven solutions, maintaining data pipelines, and collaborating with stakeholders to support business initiatives.

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

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 analyzing P&C data, developing quantitative modeling solutions, and collaborating with business partners to drive data-based decisions.

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 Analyst II focuses on enhancing Revenue Cycle operations through data analysis, process optimization, and change management while collaborating with various stakeholders to ensure effective project delivery.

The role involves developing quantitative modeling solutions to assess risks, collaborating with various departments, and effectively communicating insights through data visualization.