Top Data & Analytics Jobs in Chicago, IL
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.
Opportunity to work with clients on critical business and data protection challenges, focusing on data protection programs, cyber resilience, and technical implementation activities. Assess, design, and implement data protection capabilities for clients.
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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.
Featured Jobs
The Analytics Engineer II at Home Chef leads technical work and projects to enable data-driven decisions. They work on data ingestion, cleaning, transformation, and creating self-serve reporting for business teams. The role also involves engaging with stakeholders, ensuring data quality, and driving data-driven decision-making throughout the company.
Premier International is hiring a Senior Data & Technology Consultant to work on custom solutions for clients using various software tools like SQL, PowerShell, Excel, and VBA. The role involves deriving insights from data, leading data projects, and providing guidance to clients.
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.
The Senior Business Insights Analyst at ServiceNow will proactively monitor the real-time health of the business to deliver strategic insights. This role involves data analysis, research, and data visualization to provide recommendations for business growth and scalability.
As a Full Stack Engineer in the Data & Analytics organization, responsible for building and releasing reliable software systems at scale. Focus on building Discover's strategic Enterprise Machine Learning Platform. Design elegant solutions, guide team from inception to production, and actively manage risks and issues.
Assist in business Change Management activities, gather and document requirements, translate business requirements into technical specifications, track resolutions for issues, troubleshoot end user issues, collaborate with engineering teams, develop standard operating procedures, identify areas for automation.
As a Senior Business Intelligence Engineer at Cash App, you will be responsible for creating and optimizing data models, standardizing business metrics, building data pipelines, promoting best practices, and creating dashboards to drive business decisions. This role requires 5+ years of industry experience in complex ETLs and proficiency in SQL, Python, and Java.
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