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Top Senior Level Data & Analytics Jobs in Chicago, IL
As a Marketing Business Analytics Senior Associate, you will manage strategy and operational insights, partnering with senior stakeholders while defining metrics and leading strategic initiatives in data analytics. This role involves developing executive presentations and utilizing analytical tools for actionable insights into business performance.
The Director of Data will create and lead strategies for data and analytics advancement, focusing on data governance and management. Responsibilities include developing a data strategy, ensuring compliance with data privacy laws, managing a data governance team, and overseeing performance metrics.
As a Lead Data Engineer at Capital One, you will build and enhance data solutions using technologies like Python, Scala, and Spark. You will lead the migration of batch workloads, support technical solutions, and collaborate within Agile teams. Your role involves utilizing AWS services and mentoring other team members while ensuring high performance of the data infrastructure.
As a Senior Lead Data Engineer at Capital One, you will lead a team in developing robust data solutions, utilizing technologies like Python, Scala, and Spark, while ensuring high-level governance and observability in data production and consumption. Your role involves collaborating with Agile teams, mentoring engineers, and leveraging big data technologies in a cloud environment to drive significant business impact.
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The Senior Manager of Analytics will manage a team of digital analytics professionals, oversee data collection and analysis, and create reports to provide insights on customer interactions. Responsibilities include managing Google Analytics, optimizing data processes, and researching best practices in analytics.
As a Principal Incident & Threat Analyst, you will guide incident response teams, manage risk, develop security controls, conduct threat briefings, and coordinate with various teams to address cyber threats and vulnerabilities. You will also mentor junior members and contribute to strategy and program initiatives.
The Principal Data Scientist will lead analytical initiatives, employing techniques like segmentation, optimization, and machine learning to solve business problems. Responsibilities include collaborating with partners, developing advanced analytics, presenting findings, and automating reports, while maintaining performance tracking and process improvements.
As a Senior Manager Data Science, you will lead a team focused on developing new underwriting capabilities and leveraging alternate data. This role requires thought leadership in addressing business problems through advanced analytics and machine learning, while also overseeing team performance, coaching, and risk management.
The Associate Director for Fixed Income Data Indexes will develop and implement fixed income data strategies, manage quality and integrity of data sets, supervise a small team, and collaborate with various departments to ensure effective data integration and methodologies, particularly for leveraged loans and ESG applications.
Lead the development of Tempus’ multi-modal molecular data model. Responsible for managing cross-functional projects and building scalable data systems. Collaborate with engineers and researchers to design data models and create documentation. Deliver insights from NGS and clinical data, while fostering an innovative and inclusive environment.
The Solutions Architect will engage with clients to understand their business requirements for Data and Analytics solutions, create proposals, develop high-level designs, and build relationships with key partners. This role involves supporting sales efforts, delivering proposals, and overseeing projects to ensure client satisfaction while maximizing profit for CDW.
The Geospatial Analytics Data Platform Architect will design and implement scalable geospatial data architectures for analytics and machine learning. This role involves establishing data governance frameworks, leading cross-functional teams, ensuring data integrity, and staying updated on industry trends to drive impactful data solutions.
As a Senior Data Engineer, you will design and develop data pipelines to automate data flows between client systems and Arcadia's analytic platform. You will collaborate with the Data Engineering team, ensure high-quality delivery of projects, and contribute to process improvements while communicating effectively with team members and stakeholders.
Top Companies in Chicago, IL Hiring Data + Analytics Roles
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