Top Senior Analytics Jobs in Chicago, IL

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 role involves leading advanced data analysis to provide consumer insights and strategies for predicting market demand, influencing senior leadership, and developing demand science processes.

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 data analysis projects to help merchant partners understand Upside's impact, manage analytics relationships, and improve product strategy.

Drive data analysis strategy, build models, and lead a team of analysts while collaborating across business units and improving operational efficiencies.

Lead analytics for marketing and product decisions through causal inference, experimentation, and deep exploratory analysis. Design and evaluate A/B tests, build KPIs and dashboards, translate insights into recommendations for senior stakeholders, mentor analysts, and ensure data accuracy and integrity across platforms.

The role involves analyzing fraud methodologies, executing data analysis, and influencing change through insights. It includes managing compromised credential risks and supporting data integrity.

Partner with cross-functional teams to analyze large healthcare datasets, build models and dashboards, and surface insights to reduce medical waste. Scope, run, and present analyses, monitor performance metrics, and support initiatives to improve financial and utilization outcomes.

The Director of Analytics leads analytics strategies, data engineering, and statistical modeling to enhance decision-making for healthcare operations, managing a team and ensuring data integrity and quality.

Lead development and execution of data-driven audit strategies for insurance and PBM clients. Analyze large datasets, design analytics solutions, create dashboards, perform statistical profiling and sampling, ensure regulatory compliance, manage project budgets and client communications, and coach junior staff to improve examination efficiency and effectiveness.

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.

Lead and scale advertising analytics and tooling to optimize paid-media performance and incrementality. Build predictive and prescriptive models (forecasting, pacing, bidding, attribution), enable automation and self-service insights, and partner cross-functionally to align ad strategy with business goals while coaching a high-performing analytics team.

Lead analytics strategy for channel marketing, build attribution and incrementality frameworks, run experimentation and forecasting, surface optimization insights, and grow a high-performing analytics team to improve ROI and guide investment decisions.

The role involves managing data for email marketing campaigns, creating audiences using SQL, collaborating with analytics teams, and communicating insights to stakeholders.

Lead Data Sciences and Analytics team in delivering insights for drug development. Manage clinical data, develop models, and ensure compliance. Collaborate with stakeholders to facilitate data integration and visualization.

The Senior Predictive Analytics Analyst builds predictive models to inform business decisions, collaborating with teams and ensuring regulatory compliance.

The Senior Specialist will develop and validate data extracts, curate T-SQL queries, and collaborate with teams to support healthcare analytics and operational needs.

The Product SME specializes in enhancing revenue cycle performance through data analysis, automation, and denial prevention strategies, collaborating with stakeholders to design and implement best practices.

The Manager leads the Predictive Analytics and Data Science team, develops predictive models, and collaborates with cross-functional teams to drive data-driven solutions in healthcare.

Collaborate with stakeholders to analyze data and metrics, implement analytical models, and enhance data quality for business forecasting.

Lead a team of ~7 data scientists to deliver timely, accurate product analytics: guide experimentation, partner with product and engineering, build accessible data products, mentor staff, and improve measurement and reporting practices to inform product decisions.

Lead a Product Analytics data science team to deliver timely, accurate insights for product decisions. Manage ~7 data scientists, mentor teammates, partner with product and engineering, develop experimentation and measurement best practices, and build accessible data products and reports.

Lead a team of ~7 data scientists to deliver timely, accurate product analytics and experiments; support product teams, build accessible data products, mentor staff, and improve measurement and reporting practices.

Lead a team of ~7 data scientists to deliver timely, accurate product analytics and experimentation insights. Manage people, partner with product and engineering, improve measurement and data products, and ensure rigorous large-scale analysis to inform product decisions.

Manage a team of ~7 data scientists to deliver experimental design, product analytics, and actionable insights. Partner with product, engineering, and research to build measurement, data products, and reporting; ensure data accuracy, timely delivery, and best practices.