Top Senior Data & Analytics Jobs in Chicago, IL

Architect and own NinjaTrader’s foundational dbt data-model layer, establish modeling standards, and manage paid-media attribution. Develop AI-driven reporting, data-quality automation, agentic workflows, and self-service knowledge tools. Partner with Data and MarTech teams, prevent pipeline issues, scale models across business units and geographies, and mentor teammates while applying marketing measurement concepts such as CAC, LTV, and ROAS.

Build and evolve Avant’s data platform by automating data lifecycles, integrating systems, enabling governed self-service analytics, and scaling Databricks-based data solutions. Partner with Business Operations and Product teams to define requirements and technical solutions. Develop practical, reliable, observable, and cost-effective Generative AI and agentic tooling that improves analyst workflows and delivers measurable business value.

Designs, builds, administers, and supports cloud data architectures, databases, schemas, metadata repositories, ETL processes, and analytic models. Leads data quality, governance, troubleshooting, testing, automation, reporting, dashboards, and infrastructure design. Collaborates with Agile teams to translate business requirements into technical capabilities and supports decision-making for Audit and business management. The role is full-time onsite at an eligible Federal Reserve location and requires extensive security screening.

Lead Prolaio’s enterprise data engineering strategy, architecture, pipelines, cloud data platforms, integrations, governance, and AI-enabled data capabilities for regulated healthcare applications. Build secure, scalable systems supporting clinical, device, patient-generated, research, analytics, and product data. Establish engineering standards for lineage, provenance, lifecycle management, privacy, HIPAA, and auditability. Hire and manage high-performing teams, influence cross-functional architecture decisions, and evaluate data platform vendors and tools.

Lead digital analytics efforts to define OKRs, run A/B tests, analyze digital customer behavior, and deliver actionable insights to product, tech, and design partners to improve engagement and customer satisfaction.

Designs and operates scalable batch and streaming data pipelines and AI-ready data products across Databricks, Snowflake, Kubernetes, and cloud services. Develops governed data assets, semantic models, search and retrieval capabilities, and data quality processes. Supports Snowflake Cortex and Databricks initiatives, production troubleshooting, orchestration, performance optimization, CI/CD, and observability. Partners with business and technical teams on roadmaps and adoption, evaluates AI-assisted engineering tools, mentors engineers, and establishes reusable platform patterns.

The M365 Platform Manager oversees the Microsoft 365 ecosystem, leading architectural direction, team development, and governance while ensuring alignment with business priorities and security standards.

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.

Design and govern data assets, develop pipeline specifications with field-level mapping and quality rules, document domain data models and canonical formats, design scalable databases and ETL solutions, and solve complex data problems to support Cat Digital. Hybrid work: telecommute one day per week.

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.