Top Analytics Manager Jobs in Chicago, IL

Lead and coordinate a team building generative AI solutions (agents, digital assistants). Provide technical direction, manage resources and schedules, enforce engineering best practices, ensure product quality, and mentor team members while delivering enterprise-scale AI systems across cloud and edge environments.

Lead a global analytics team to transform financial and operational data into actionable insights. Partner with stakeholders to align analytics with strategy, build scalable Power BI dashboards integrated with Snowflake, apply predictive modeling and ML, enforce data governance, drive automation with Python and Power Automate, and improve data architecture and reporting to inform decision-making and business performance.

Lead health-plan focused decision analytics engagements, manage client relationships, drive business development, deliver digital/technology solutions, coach and lead virtual consulting teams, and ensure project delivery while advising on commercial and operational strategy.

Develop relationships with software partners and clients, manage project delivery, and implement software solutions in various industries, focusing on sales planning and incentives operations.

Lead and manage analytics projects and teams, provide technical guidance on data science, predictive modeling, and statistical analysis, design and execute quantitative analyses, ensure deliverables and timelines, engage clients, recruit and mentor staff, support business development, and oversee project budgets and quality. Domestic travel required ~20%.

Lead Finance Data & Analytics to build trusted data sources, governance, and analytics for Finance and cross-functional stakeholders. Manage analysts, drive data strategy and Snowflake data models, produce insights via SQL and Tableau, and deploy AI solutions to optimize finance decision-making and operations.

Lead design and build of ETL pipelines and Gold Layer tables in Databricks; develop semantic layers, data dictionaries, and AI-ready documentation; create dashboards and ad-hoc analyses to surface marketing and sales KPIs; partner with stakeholders to translate requirements into analytics-ready datasets and enable self-serve BI and agentic AI workflows.

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

Lead data analysis for merchants, manage projects to improve product and acquisition strategies, and communicate insights effectively.

Lead client analytics engagements end-to-end, manage and mentor analytics teams, design data platforms and ETL, deliver dashboards and insights (Power BI/Tableau), perform SQL/Python/R analysis, ensure governance and project delivery, and translate findings into strategic recommendations. Travel ~5-10%.

The Senior Marketing Analytics Manager will build and maintain dashboards, conduct in-depth analysis, and support strategic planning to optimize marketing performance and drive pipeline growth across various teams.

The Manager of Strategy & Analytics will analyze marketing performance, client retention, and customer value, collaborating with various teams to provide actionable insights.

The Manager of Marketing Analytics will analyze marketing performance, optimize sales effectiveness, and report insights to stakeholders while collaborating with various teams.

Lead CX analytics strategy and operations by standardizing metrics, enabling self-service analytics, and embedding AI in the analytics lifecycle to enhance decision-making processes.

Lead customer analytics engagements using data manipulation, visualization, statistical and predictive modeling. Build and maintain data pipelines, deploy scalable Power BI/Tableau solutions, manage and mentor teams, collaborate with client leadership to identify opportunities, and drive technology-enabled, data-driven decisions.

Lead People Systems strategy and operations, optimize and administer Workday and other HR platforms, manage a People systems team, design integrations and automations, drive change adoption and training, evaluate service delivery metrics, and recommend new tools to scale lifecycle operations for thousands of employees.

Lead multi-plant digital transformation by identifying high-value shop-floor opportunities, building Power BI dashboards, automating processes with Power Automate/Power Apps, piloting Agentic AI, establishing MES/SAP/CMMS/historian data connections, defining governance, coaching plant teams, and tracking business value across six U.S. manufacturing sites.

Lead design and maintenance of data models, dashboards, and reporting for travel commercial supply. Run deep-dive analyses, define KPIs, build forecasting and planning frameworks, map and improve commercial workflows, and implement AI-driven solutions. Partner closely with Product and Engineering to translate commercial problems into technical briefs and drive adoption of operational improvements.

The Analytics Manager will lead analytics for the Payments and Identity lifecycle, manage a team of analysts, develop KPIs, and ensure data quality while collaborating with cross-functional teams.

Manage underwriting analytics, collaborate with cross-functional teams, drive operational improvements, and enhance training for underwriters.

Lead and grow a team of analytics engineers while remaining hands-on with SQL, dbt, and Snowflake. Own roadmap and semantic layer development, build trusted, governed data products, partner with cross-functional stakeholders, champion data quality and observability, and hire and coach engineering talent to deliver scalable analytics and AI-ready foundations.

Manage Digital Merchandising Analytics by evaluating performance across the customer funnel, translating data into actionable insights, and collaborating with various teams to enhance the customer experience and drive business outcomes.

The Senior Manager, Marketing Analytics will lead AI-driven marketing analytics, develop performance metrics, and collaborate across teams to enhance data-driven decision-making.

The Senior Manager, Data Science & Analytics will lead the analytics strategy for client engagement, focusing on data-driven insights and marketing performance to assist in customer acquisition efforts.

Lead FP&A engagements for private equity-backed middle-market companies by developing forecasting models, financial and operational reporting, profitability analysis, and process improvements. Manage project resources, communicate with C-suite and PE stakeholders, implement performance management capabilities, and support deployment of actionable plans. Emphasizes data analytics, Excel modeling, and client-facing advisory responsibilities with travel as needed.