Top Remote Senior Level Data & Analytics Jobs in Chicago, IL

Responsible for analyzing and managing risk management issues, recommending options to control and reduce risks, documenting and communicating risks, identifying key risks and mitigating factors, and developing systems and processes to monitor the validity of risk modeling outputs.

Seeking an experienced Analyst Relations practitioner to drive the execution of the company's AR strategy, nurture relationships with industry analysts, and collaborate with key stakeholders to deliver results. This role involves creating and managing positive relationships, executing AR programs, advising on analyst contributions to marketing campaigns, and maintaining a data-driven analyst relations program.

Manage SAP SuccessFactors data migration and integration implementations using SAP Business Technology Platform. Provide specialized SAP SuccessFactors product and implementation solutions to clients for achieving defined business outcomes.

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.

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.

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.

Individual contributor responsible for managing and developing a complex book of business. Analyzes underwriting risks, determines pricing strategies, and maintains agency relationships. Recognized as a technical expert in underwriting specialty. Mentors less experienced underwriters and participates in special projects and presentations.