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 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.

The Sr Analyst, Fraud Analytics role focuses on utilizing data analysis to identify and address fraud trends, develop fraud strategies, and communicate insights to stakeholders at Avant.

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.

Analyze transaction data to define risk strategies for Embedded Finance, develop analytical models, mentor analysts, and present insights to leadership.

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.

The Analytics Internship involves working with data analysis, enhancing models, conducting ad hoc analysis, and collaborating with senior management on KPIs.

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

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.

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

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

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 complex analyses to improve portfolio risk and fraud prevention, managing multiple projects, and collaborating with business partners to enhance fraud policies and procedures.

This role involves complex analysis to improve portfolio risk and profitability in fraud prevention. Key tasks include identifying trends, developing strategies, and collaborating across teams.

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

The Senior Quantitative Analytics Associate leverages statistical and mathematical techniques to validate models and provide predictive analysis for business needs, mentoring junior staff and delivering insights based on data analysis.

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

The AVP, SOX Testing Analytics Lead is responsible for developing and implementing data analytics and automation for SOX compliance, enhancing testing efficiency and risk assessment through data-driven improvements and collaboration with cross-functional teams.

The Quant Analytics Lead Associate develops and validates predictive models using statistics and machine learning techniques, conducts quantitative analyses, and communicates insights to stakeholders.

The role involves performing product usage analyses, designing A/B tests, leveraging AI tools for insights, and working cross-functionally to improve business performance metrics.