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Top Remote Senior Level Analytics Jobs in Chicago, IL
Big Data • Transportation • Analytics • Big Data Analytics
As a Senior DataOps Engineer, you will design and optimize cloud-based data operations pipelines, ensuring integration with analytics services and maintaining cloud environments. You will collaborate with governance and engineering teams to enhance operations and mentor junior staff.
Top Skills:
AnsibleAWSBashCircleCICloudFormationDatadogGitlabGoGCPGrafanaJenkinsPrometheusPythonTerraform
Big Data • Healthtech • Software
The Lead Data Analyst will create complex analytics, manage customer projects, deliver insights, and support BI development, contributing to data-driven decision-making in healthcare.
Top Skills:
AWSAws RedshiftConfluenceDbtGitJenkinsJIRAPythonSQL
Artificial Intelligence • Professional Services • Business Intelligence • Consulting • Cybersecurity • Generative AI
As a Data Engineer Manager at PwC, you will lead teams in designing data infrastructures and pipelines, ensuring data processing and analysis efficiency. Your role includes driving project execution, mentoring team members, and fostering collaboration with business stakeholders to deliver data solutions while upholding professional standards.
Featured Jobs
Artificial Intelligence • eCommerce • Information Technology • Internet of Things • Automation
The Strategy Manager will lead data partnerships, manage strategic sell-through programs, ensure compliance, and drive sales initiatives for CDW's Digital Velocity Data and Analytics team.
Top Skills:
Data And Analytics
Cloud • Fintech • Software • Business Intelligence • Consulting
The Systems Analyst III will support the implementation and operation of Wipfli's Workday ERP system. Responsibilities include gathering business requirements, collaborating with IT and stakeholders, delivering end-user documentation and training, managing system changes, and leading vendor relationships. The role demands analysis of business needs and identification of process improvements.
Cloud • Consumer Web • Productivity • Software • App development • Automation • Data Privacy
The Senior Software Asset Management Analyst will manage and optimize software assets at Dropbox. Responsibilities include developing and executing a SAM roadmap, conducting license assessments, enforcing compliance, and improving data integration and processes. Collaboration with various teams is paramount to enhance SAM practices and enhance overall service delivery.
Artificial Intelligence • Hardware • Information Technology • Security • Software • Cybersecurity • Big Data Analytics
The Category Manager will oversee procurement and supplier relations, focusing on strategic sourcing and category management of software and AI technologies. Key responsibilities include leading negotiations, developing supplier relationships, analyzing spend data, and implementing strategic sourcing practices to enhance efficiency and cost savings.
Top Skills:
Ai TechnologiesData Analysis MethodologiesProcurement StrategiesSaas ApplicationsSoftwareStrategic Sourcing Methodologies
Cloud • Insurance • Professional Services • Analytics • Cybersecurity
The Data Modeler at CNA will lead the design of conceptual and logical data models for the enterprise data warehouse, manage and maintain data models, conduct data quality analysis, and facilitate discussions to understand data sources. They will also work with different technology and product teams, ensuring adherence to standards and guiding best practices in data modeling.
Top Skills:
ComposerData ModelingEnterprise Data WarehouseErwinGcp Big QueryIicsNoSQLPostgresRelational Database
Cloud • Information Technology • Consulting • Infrastructure as a Service (IaaS)
The Senior Scheduling Analyst maintains and automates complex batch schedules, mentors junior staff, and provides reporting while ensuring adherence to SLAs and change control processes.
Top Skills:
Bmc ControlmExcel)JclMicrosoft Office (OutlookSdsfTsoWord
Fintech
The Associate Director will lead a team of statisticians and data scientists to develop, validate, and optimize statistical models for credit risk and marketing. Responsibilities include managing model deployment, conducting data analysis for growth opportunities, and ensuring compliance with model governance frameworks.
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