Top Data & Analytics Jobs in Chicago, IL
Experiment with state-of-the-art algorithms to improve knowledge retrieval and search efficiency, develop Natural Language Processing and Gen AI models to improve customer support effectiveness, collaborate with cross-functional teams, and continuously monitor and evaluate machine learning model performance.
Execute assessments of third-party suppliers, manage third-party risk management lifecycle, collaborate with cross-functional teams, prepare risk reports for senior management, stay updated with industry trends and regulatory changes.
Join Vouch as a Senior Underwriting & Claims Analyst to expand analytical capabilities and extract insights from insurance datasets. Work on data-driven underwriting practices and enhance risk assessment capabilities. Collaborate with leadership and various teams to support organizational goals and improve performance metrics.
Join Vouch as a Senior Underwriting & Claims Analyst to expand analytical capabilities and extract insights from insurance datasets. Collaborate with leadership to develop data-driven underwriting practices and enhance risk assessment capabilities. Develop processes to support organizational goals, collaborate with teams, and extract insights from data sources.
Featured Jobs
Join the Customer Support team at Motorola Solutions as a Tier 1 NOC Analyst responsible for providing technical support, monitoring operations, resolving network incidents, and maintaining system uptime. Work includes system administration and customer support duties. This is an onsite night shift role with specific hours and responsibilities outlined in the job description.
Business Systems Analyst partnering with the Procurement & Finance business community to define & deliver a transformation roadmap focusing on Procure to Pay processes using Oracle and other leading technologies.
Project manages and supports the administration of company-wide rewards processes, participates in compensation surveys, evaluates positions, creates tools and training, conducts compensation analysis, assists with equity administration, provides support for recognition programs, advises on compensation actions, and assists with special assignments.
Lead the Fraud Data and Analytics team within the Financial Crimes Technology sector. Provide expertise in consulting for financial crimes and regulatory environments. Drive fraud transformation initiatives for clients through end-to-end solutions.
Manage a team of problem solvers in implementing enterprise content and data management applications to improve operational effectiveness. Help clients drive innovation and change using data analytics. Develop new skills, resolve issues, coach others, and provide strategic recommendations.
As a Senior Associate in Financial Crimes Technology - Data and Analytics at PwC, responsibilities include helping organisations uncover insights, drive business results through data analytics, and navigate risk to gain a competitive edge. Preferred qualifications include expertise in FircoSoft products like Firco Continuity and experience in financial technology.
Seeking a Senior Data Scientist to build algorithms that power data products, leveraging machine learning tools and big data frameworks. Responsible for developing orchestrated pipelines and staying current with the latest research in machine learning. Requires 7 years of professional experience and strong communication skills.
The Senior Analyst, Revenue Analysis & Pricing is responsible for revenue analysis, forecasting, and scenario modeling for Intelsat's Commercial Aviation business unit team. This role involves supporting strategic decision-making through analytical solutions for business model transformations, pricing, and revenue quantification. The analyst will work closely with various teams to drive revenue growth and maximize deal value.
Join Intelsat's Rotational Associate Program as a Data Scientist/AI Rotational Associate. Engage in AI/ML projects, collaborate with teams, and gain exposure in the space and satellite industry. Develop, deploy, and optimize AI solutions, conduct data analysis, and present findings to leadership.
Join our dynamic Analytics Team where data drives decisions and insights fuel innovation. Lead, develop, and analyze problem statements and data solutions to enable decision-making for data stakeholders. Utilize programming and analytical tools to develop solutions, collaborate with stakeholders, execute advanced analytics projects, design self-service tools for actionable insights, and work with technical teams.
Responsible for executing employee benefit strategies, providing operational support for business changes, collaborating with HR functions, and ensuring compliance with employee benefit policies. Supports audits, compliance, and vendor relationships. Requires University Degree in HR Administration or related discipline with 1-3 years of experience in Employee Benefits or HR Shared Services.
The Senior Analyst, Compensation Accounting prepares calculations, reconciliations, and analysis for global compensation programs. They collaborate with various departments, ensure compliance with US GAAP, and identify opportunities for improvement. This role also involves participating in special projects and maintaining SOX compliance.
Manager of Machine Learning responsible for leading a team of data scientists and ML engineers to create new data products from financial transactions at Apex Fintech Solutions. Key duties include overseeing model development, collaborating with stakeholders, and keeping up with advancements in ML and AI. Requires 5+ years of building ML solutions, 3+ years of managing people in tech companies, and experience with cloud technologies like GCP, AWS, and Azure.
Assist senior team members in managing security operations, investigate alerts, respond to client requests, run security evaluation projects, manage vulnerabilities, deliver training, work with auditors, and collaborate with multiple teams within the organization.
Join the Data Science and Analytics Engineering team to build ML/NLP models and contribute to the automation of data processing. Require expertise in Machine Learning, deep learning, NLP, feature engineering, and optimization. Must have experience deploying ML models to production using AWS, GCP, or Azure.
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