Top Hybrid Senior Level Data & Analytics Jobs in Chicago, IL
As a Data Analyst, you will use data and analytics to drive decision-making, uncover insights to solve business challenges, and shape organizational strategy. You will create reports and dashboards, analyze feedback data, and ensure data quality standards. Minimum education requirement is a Bachelor's degree in Computer Science, Statistics, Information Technology or related field with 4 years of experience in Data Analysis or Data Science.
The Sales Strategy Manager is responsible for overseeing effective operating procedures for the Beyond Finance Sales Department’s call center and implementing process improvements to drive revenue growth. They will collaborate with key stakeholders to deliver holistic solutions and provide executive-level reporting. The ideal candidate has experience executing strategic and operational initiatives, strong problem-solving skills, and excellent communication abilities.
Sr. Data Engineer responsible for designing, developing, optimizing, and maintaining data architecture and pipelines. Responsibilities include solving complex data problems, creating data products, advising data professionals, leading tool implementations, and partnering with other teams for technical architectures.
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Supervisor-Vendor Relationship Manager focused on delivering excellence in vendor governance and strategic initiatives, utilizing technical skills in Power Platform, data analytics, and project management. Responsibilities include supporting various technology services and managing relationships with service providers.
Responsible for leading the development, maintenance, and communication of business risk reporting, analytics, and risk governance activities. Collaborates with key stakeholders to deliver accurate and timely risk reporting and analytics. Manages and escalates risk issues to management. Ensures compliance with risk reporting procedures and regulatory requirements.
As an Applied AI/ML Lead, you will lead AI/ML initiatives, develop machine learning models, collaborate with various teams, and deploy solutions into production.
The Data Science Consulting Director at CNA Insurance is responsible for leading the development and maintenance of actuarial pricing models across commercial and specialty lines. They collaborate with peers and business partners to influence pricing strategies and ensure successful implementation and maintenance of pricing models. The role involves using statistical and machine learning techniques to solve pricing problems and providing subject matter expertise on predictive modeling techniques.
The Data Modeler - Lead at Caterpillar Inc. will lead teams in data quality, design, metadata management, and governance. They will be responsible for creating data management strategies, ensuring compliance with data standards, and designing scalable databases and ETL solutions.
Senior Consultant role at TransUnion's Marketing Solutions division, focusing on developing analytical and scoring solutions for marketing, risk, and fraud. Responsible for translating client requests into analytical questions, creating custom segmentation and scoring solutions, designing data models, analyzing data assets, and collaborating with product management and data engineering teams.
The Staff Data Analyst will lead data-driven projects, optimize screening processes, collaborate with cross-functional teams, create visualizations, and provide strategic insights to global compliance leadership.
Top hybrid Companies in Chicago, IL Hiring Data + Analytics Roles
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