Top Senior Level Data & Analytics Jobs in Chicago, IL
Seeking a Staff Machine Learning Engineer/Architect to lead the Machine Learning and Artificial Intelligence R&D strategy at Qualtrics. Responsibilities include designing AI architectures, frameworks, and algorithms, evaluating AI technologies, collaborating across teams, and deploying ML systems in production.
Develop scalable reporting and analytics solutions, analyze performance trends, and build cross-functional partnerships to empower active traders in financial markets.
As the Analytics Solutions Senior Associate on the Commercial Bank Global Services team, you will lead the development of data insights and analytics for Commercial Bank's Global Services function. Responsibilities include defining key management metrics, designing dashboards, managing analytics projects, and developing strategic initiatives. Required qualifications include 5+ years of experience in data analysis, Business Intelligence, or Management Consulting roles with technical data skills and business acumen. Preferred qualifications include an undergraduate degree in a quantitative field and financial services experience.
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Collaborate with a team to create machine learning solutions for fraud detection and identity verification, utilizing Python and other tools. Develop, implement, and refine machine learning models to reduce business risks and enhance customer experiences. Document processes, improve frameworks, and generate reports for continuous monitoring of analytical systems.
Organize and manage business operations for the global Sales function, focusing on clean and accurate reporting as deal complexity grows. Responsible for forecast and inventory projections, data cleanliness, and supporting creation of CRPO and forecast readouts. Execute operational aspects of the Global Forecast Operational Cadence and ensure consistency across GEO Reporting teams.
As the Sr Manager Tech Lead Customer Data, responsible for delivering engineering outcomes by developing data-driven products that resonate with users and support the company's growth objectives. Lead multi-functional teams to perform solution requirements feasibility, build and deliver solutions, and drive a performant and maintainable architectural integration. Partner closely with product and data teams to leverage vendor capabilities across digital products and data platforms.
Join our Cybersecurity, Privacy, and Forensics team at PwC to drive strategic programs, data analytics, innovation, deals, cyber resilience, and technical implementation activities. Focus on implementing effective data protection programs for clients, assessing data protection capabilities, and safeguarding critical assets.
Responsible for analyzing and governing the ServiceNow CMDB and asset management modules, collaborating with business partners, and assisting with ITSM and Disaster Recovery initiatives. Maintain CMDB accuracy, perform audits, generate reports, assist in incident investigation, and participate in disaster recovery testing. Provide input on ITSM policies and procedures.
Lead the Data Quality Team, define and manage technical strategy, build and lead a team of data quality analysts, and ensure data accuracy and integrity. Collaborate with trading and technical teams to maintain data quality for trading decisions.
Seeking a Senior Data Engineer with 5+ years of experience in Data Engineering. Responsibilities include working with SQL, Python, building ETL/ELT pipelines on big data platforms, problem-solving for performance optimization, and collaborating across development activities. Must have a B.S. or equivalent in a technical field.
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