Top Analytics Jobs in Chicago, IL

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.

Analyze and forecast financial data for strategic decisions, lead a team, ensure data integrity, and advise executives. Requires extensive actuarial experience and modeling proficiency.

Lead advanced analytics for the Host App, performing complex quantitative analysis, experimentation, causal inference, metric design, and reporting. Partner with cross-functional teams to drive product decisions, build data pipelines and analytical tools, and present insights to senior leadership to optimize host and guest experiences.

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 Associate will analyze healthcare data, support research projects, and develop insights for clients in the healthcare sector.

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.

The role involves analyzing complex datasets for private equity transactions, providing insights for due diligence and performance, using various analytics tools and programming languages, and ensuring strategic decisions are informed.

As an Analytics Intern at Praytell, you will support data analysis and insights generation for communications strategies, working with real client campaigns and helping to optimize performance across various media channels.

The Actuarial Analyst 2 analyzes and forecasts financial data to support strategic decisions, ensuring data integrity, collaborating with stakeholders, and developing resolutions for data anomalies.

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.

The Education Research Manager leads predictive model development for higher education enrollment strategies, translating complex analytics into actionable insights for institutional leaders.

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 intern will support data collection, analysis, and reporting, using SQL to extract and validate data, develop dashboards, and prepare data for analysis, while gaining practical experience in a professional IT environment.

As a Solutions Analytics Data Scientist, you will analyze partner data, demonstrate product value, and provide actionable insights regarding fraud patterns and performance evaluations.

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 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.

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

The Product Analytics Data Scientist will enhance algorithms based on customer needs, optimize grocery orders, and support data use for improved ordering performance.