Top Senior Data & Analytics Jobs in Chicago, IL

Lead complex data analyses and build interactive dashboards to drive actionable business insights. Integrate multiple data sources, support ETL and data pipeline work, ensure data quality and governance, collaborate with stakeholders, and translate trends into recommendations to improve outcomes across the consumer products portfolio.

Lead validation of enterprise-wide analytical tools for risk management: plan and execute validation projects, assess methodology quality and tool risk, prototype best practices, communicate findings, and coach junior staff.

Build and maintain data solutions for risk products: mine diverse data, develop BI dashboards and metrics, perform analyses to inform strategy, enforce data quality/lineage/governance, and collaborate with tech teams on access and security. Support self-service frameworks and monitor data quality.

Lead and mentor a team of analysts to drive risk product strategy using large-scale data analysis, model testing, BI, and reporting. Design and implement data storage/production systems, run experiments, improve processes, and collaborate across business units to deliver analytics-driven product and customer experience improvements.

Design, develop, and administer advanced analytics dashboards, BI reporting, and data views. Partner with stakeholders to gather requirements, deliver production analytics, perform root-cause analyses, support data governance, and enable self-service analysis across laboratory, operations, and engineering teams.

The Senior Analytics Engineer will design data warehouses, build transformation pipelines, optimize queries, and mentor stakeholders on data practices to enhance decision-making across the company.

The Manager, Identity Fraud Strategy oversees identity verification and authentication strategies, leads a fraud analytics team, and partners with CIAM to minimize fraud while enhancing customer experience.

The Director of Strategy & Analytics will lead analytics efforts, conduct data analyses, and collaborate cross-functionally to deliver actionable insights for business growth.

Lead e-commerce fulfillment analytics and strategic planning across five grocery brands. Build models and market outlooks, generate actionable insights, present recommendations to executives, partner cross-functionally to optimize capacity, sales capture, and costs, and drive continuous improvement of processes and team capabilities.

Lead cross-functional BI initiatives by partnering with business leaders to translate priorities into scalable analytics, dashboards, and datasets. Use SQL and Snowflake to analyze large datasets, optimize queries, and collaborate with data engineering on pipelines. Establish governance, data quality, and best practices; develop roadmaps; communicate insights to executives; mentor analysts; and drive process improvement and modernization to enhance BI capabilities.

Design, build, and operate big-data and streaming platforms (Kafka, Hadoop, Dremio). Develop, deploy, and monitor data pipelines using Java, Python, Spark/Flink; collaborate on data modeling and ingestion, ensure data integrity and availability, act as a Big Data SME, and perform root-cause analysis.

Lead architecture and delivery of enterprise Product Information Management (PIM) solutions. Manage product data lifecycle, ensure data quality and integration, drive innovation and client engagements, mentor team members, and improve processes to align product data with business objectives.