Top Senior Level Data & Analytics Jobs in Chicago, IL

Seeking a Senior Data Engineer passionate about testing data, enhancing datasets, and building data products. Responsibilities include working with SQL, Python, ETL/ELT pipelines, and collaborating on development activities. Qualifications include 5+ years of Data Engineering, knowledge of data quality tools, and familiarity with continuous integration. Bachelor's degree in a technical field preferred. Company focuses on free access to information with an emphasis on privacy and security in advertising and media measurement optimization.

Provide expert knowledge in designing, implementing, maintaining, and supporting Workday modules. Identify opportunities to maximize system accuracy and efficiency. Optimize system effectiveness and functional processes through program configuration. Anticipate and provide data reporting needs from business partners. Resolve tier two escalations for Workday and Kronos. Partner with HR CoEs to translate end user needs into system requirements. Provide technical support for new HR system implementation. Strong vendor management skills.

Seeking a Sr Director to lead and oversee the company's entire employee lifecycle, transform the employee experience, and evolve Global Mobility and People Analytics vision and strategy. Responsible for developing and scaling a thriving global team and driving strategic people services initiatives. Must be driven to help the people services team thrive and create a world-class employee experience. Opportunity to partner closely with leadership and innovate using technology, specifically Tableau, for data analytics.

Seeking a Sr Manager, Data Loss Prevention to manage the DLP team, program strategy and roadmap, and operations. Responsibilities include overseeing DLP Operations Team, driving implementation of DLP technologies, communication with stakeholders, and ensuring DLP technology decisions align with legal and regulatory changes.

Seeking a dynamic and analytical Senior Transportation Analyst responsible for analyzing carrier rates, driving cost reduction initiatives, and optimizing transportation operations. Collaborate with internal and external teams to implement rate changes, improve cost capture processes, and build dashboards for tracking KPIs using SQL and data visualization tools.

Transforming traditional relational and complex multimodal data sources into pipelines for downstream systems. Designing and implementing scalable data processing systems, educating teams, and mentoring junior members. Working with AI, Platform, and Business Analytics teams to address ML/AI needs.

Lead a team of data scientists and engineers in developing and implementing data strategies aligned with business objectives. Oversee the transformation of on-prem data warehouse to a modern datalake on Google BigQuery. Drive discussions on data governance, quality, and security standards.