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Top Remote Data Management Jobs in Chicago, IL
Automotive • Cloud • Greentech • Information Technology • Other • Software • Cybersecurity
The Strategic Data Science Lead drives data-driven initiatives and strategic planning through data collection, analysis, model development, and stakeholder engagement. This role includes developing AI/ML models, conducting feasibility analyses, and collaborating with cross-functional teams to align on strategic objectives.
Top Skills:
Python
Beauty • Robotics • Design • Appliances • Manufacturing
The Director of Data Science & Analytics will lead initiatives to leverage data analytics for business growth, manage reporting and analytics teams, develop strategies using advanced techniques like machine learning, and ensure compliance with data regulations. This role requires an in-depth understanding of the Amazon ecosystem and involves fostering data-driven decision-making across the organization.
Top Skills:
PythonRSQL
Artificial Intelligence • Healthtech • Machine Learning • Natural Language Processing • Biotech • Pharmaceutical
In this role, you will manage data for clinical trials, oversee data monitoring and management activities, maintain data quality according to the Data Management Plan, and collaborate with colleagues to promote operational excellence while documenting lessons learned to enhance cross-study learning.
Top Skills:
Data Management
Featured Jobs
Consumer Web • eCommerce • Food • Healthtech • Social Impact
The Data Applications Manager will lead the development and implementation of data integration strategies and operational reporting solutions. The role requires managing enterprise-level systems and ensuring seamless data ecosystem performance while overseeing technical team management and stakeholder engagement.
Top Skills:
PythonSQL
Fintech • Insurance • Machine Learning • Other • Analytics • Automation
The Claims Data Analysis & Reporting Manager will focus on data visualization, reporting, and analysis related to Workers' Compensation claims. Responsibilities include creating dashboards, conducting predictive analytics, collaborating with teams to enhance data infrastructure, and improving the overall efficiency of claims processes. The role requires strong technical skills and business acumen within the insurance industry.
Top Skills:
PythonRSASSpssSQLStata
Artificial Intelligence • Information Technology • Machine Learning • Security • Software • Cybersecurity • Generative AI
The Analyst Relations Coordinator will enhance Exabeam's visibility among industry analysts by implementing engagement plans, managing key industry reports, and facilitating communications. The role involves collecting industry intelligence, creating analyst references, and reviewing marketing content to support analyst engagements.
Top Skills:
Google Enterprise SuiteMicrosoft Office Suite
Consumer Web • eCommerce • Enterprise Web • Events • Sports
The Manager of Fraud Analytics will lead efforts in monitoring and mitigating fraud losses, analyzing data to propose strategic improvements, and managing a team of analysts. Responsibilities include developing fraud strategies, collaborating with cross-functional teams, and overseeing vendor performance.
Top Skills:
PythonRSASSQL
eCommerce • Fashion • Retail
The Director of Consumer Insights & Data Analytics will optimize customer behaviors and improve the purchase journey using data insights. Responsibilities include leading research, analyzing user behavior, driving marketing activities, and developing tools for measuring brand strength and customer segmentation.
Top Skills:
CSSHTMLJavaScript
Big Data • Fintech • Mobile • Payments • Financial Services
As a Manager on the Revenue Analytics team, you'll drive the growth strategy for a Revenue segment by providing analytical insights, establishing KPIs, and optimizing decision-making processes. Your role will involve collaborating with internal and external stakeholders, producing actionable recommendations, and leading projects from start to finish.
Top Skills:
PythonSQL
Computer Vision • Healthtech • Information Technology • Logistics • Machine Learning • Software • Manufacturing
Lead Dandy's centralized data engineering function, building and optimizing data processes and infrastructure. Collaborate with cross-functional teams to enhance data accessibility and quality, driving business decisions through data-driven insights. Implement best practices in data engineering and foster a data-driven culture within the organization.
Top Skills:
Python
Top remote Companies in Chicago, IL Hiring Data + Analytics Roles
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