Top Data & Analytics Jobs in Chicago, IL

The eCommerce Sales Analytics Lead analyzes market data, provides recommendations, collaborates across teams, and conducts financial analyses to drive sales growth and profitability.

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

Develop advanced algorithms, apply statistical techniques, support clients with data analysis, contribute to emerging datasets, mentor junior associates, and advance thought leadership through research.

The Pricing Analyst will analyze market data, assist in pricing strategies, collaborate on RFP submissions, and communicate solutions to improve processes.

Perform end-to-end marketing analytics: build and maintain Snowflake/dbt data models and Periscope dashboards, analyze funnel drop-offs with SQL and Python, deliver data-driven recommendations to leadership, coordinate cross-functionally, mentor junior analysts, and responsibly leverage AI tools to accelerate work.

Lead a small data engineering team and own market data platforms from ingestion through delivery. Build and maintain KDB+/Q time-series systems, ensure data correctness, low-latency decoding, replay/recovery, and reliable distribution to downstream consumers. Write production code, review designs, improve observability, and prepare the platform for AI-driven consumers.

Design, build, and optimize BigQuery-based data solutions and data models. Manage data storage, partitioning, clustering, ETL, and data quality. Collaborate with architects, data scientists, and engineers to deliver scalable, secure cloud data infrastructure and documentation; senior hires provide technical leadership, code review, and process improvement.

Accountable for governance, quality, and lifecycle management of parts data within the PIM ecosystem. Define data quality standards and validation rules, design and maintain data models and hierarchies, analyze and remediate data issues, partner with engineering for scalable integrations, and support audits and compliance. Drive data specifications, operating procedures, and value realization across digital commerce, dealer systems, and analytics.

Administer and optimize P21/SQL databases, design logical and physical data models, manage SSRS reports and SSIS packages, ensure security, backups, and recovery, tune performance, collaborate with cross-functional teams and vendors, and document database procedures and policies.

Manage analytical service operations by overseeing a team, designing software for data mining, developing statistical models, and generating insights for marketing outcomes. Provide training and mentorship to direct reports.