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Top Analytics Jobs in St. Louis, MO
The eDiscovery Analyst supports the technical aspects of Legal Hold and eDiscovery processes, managing data collection, consulting on litigation support technologies, and ensuring compliance in legal matters. They act as a liaison across departments and improve eDiscovery services through best practices and emerging technologies.
As a Cloud Data & Analytics Manager, you will assist clients in developing data strategies aligned with their business goals, manage cloud data architecture implementations, and coach team members. Your role involves analyzing complex ideas, leveraging data insights, and improving analytics solutions to enhance decision-making and drive business outcomes.
The Geospatial Analyst will conduct imagery research and analysis to provide vital products in support of the National Geospatial-Intelligence Agency. Responsibilities include analyzing softcopy imagery, utilizing various tools for intelligence assessment, and collaborating with other analysts to present and solve intelligence problems effectively.
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The Security Operations Analyst will monitor and respond to security incidents, enhance security tools, develop automation scripts, analyze vulnerabilities, and collaborate with teams to remediate security weaknesses. The role focuses on advancing security operations and vulnerability management initiatives.
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.
As a Security Analyst at PNC, you will be responsible for conducting third-party security risk assessments, managing assessment processes, consulting on security policies, and improving third-party security assurance programs. Your role includes coordinating with suppliers and internal resources, conducting interviews, and providing technical evaluations.
As a Data Analytics Engineer, you will design and maintain scalable data pipelines, automate workflows, and develop predictive models while collaborating with cross-functional teams. You'll support data governance and work with various tools to enhance analytics and reporting capabilities.
As a Technical Support Analyst, you will provide technical support to institutional clients, addressing their issues related to the Chainlink platform. You will establish credibility with stakeholders, develop processes for efficiency, and create a customer support knowledge base.
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The Senior Data Analyst will build data models and visualizations, develop insights on healthcare navigation and doctor rankings, and collaborate with stakeholders to deliver data-driven stories and reports.
The Research Scientist will focus on productionalizing and deploying machine learning models within the Personal Loans, Underwriting team. Responsibilities include building and maintaining risk evaluation models, collaborating with the Machine Learning team, and applying statistical and machine learning methods to improve Upstart's lending marketplace.
Top Companies in St. Louis, MO Hiring Data + Analytics Roles
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