Top Remote Data & Analytics Jobs in St. Louis, MO
The Manager will lead marketing analytics projects, maintain client relationships, oversee data science teams, and implement business strategies to enhance client performance. Responsibilities include managing data scientists, driving strategic consulting initiatives, and fostering team development.
The Computational Scientist will develop computational methods for catalysis material design and optimization, leading workflows and collaborating with teams to enhance existing procedures. Responsibilities include preparing reports, supporting business functions, engaging in client research, mentoring junior staff, and collaborating with software engineers.
The SAP Analytics Cloud Consultant will design and develop planning and analytic solutions for governmental clients. Responsibilities include analyzing needs, managing projects, and deploying web-based solutions, as well as mentoring and collaborating within the consulting team. The role requires strong organizational and communication skills and an understanding of managerial accounting.
The User Acceptance Testing Analyst is responsible for performing UAT for system upgrades and releases. This role involves creating and reviewing test cases, developing testing strategies, and maintaining documentation. The analyst will conduct defect tracking, manage test data, and establish relationships with business partners while identifying risks and improving the UAT process.
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The Senior IMS Mainframe DBA will create, maintain, design, and troubleshoot client databases, focusing on IMS environments. Responsibilities include database software upgrades, daily maintenance, backups, monitoring, performance optimization, and on-call support. They will collaborate with vendors and develop best practices for database management, ensuring security and efficiency.
As a Principal Data Scientist at Appspace, you will analyze data generated by our platform to create valuable reporting and analytics for customers. This includes developing data models, dashboards, and providing user training while collaborating with cross-functional teams to meet customer needs.
As a Senior Machine Learning Engineer, you will design and develop machine learning applications, conduct experiments, work collaboratively with engineers, engage with clients, and mentor project teams, focusing on practical AI solutions for clients.
The GRC Analyst will be responsible for implementing and maintaining the Information Security Management System (ISMS), ensuring compliance with security standards like ISO 27001 and GDPR, leading audits, managing information security policies, and coordinating responses for vendor security assessments.
The Revenue Operations Analyst will manage day-to-day CRM operations and support the sales and customer success teams. Responsibilities include ensuring smooth sales-to-customer success handoffs, maintaining data accuracy, managing operational support tickets, contributing to sales projects, collaborating on customer success initiatives, and optimizing processes through documentation and team training.
The Senior Data Engineer will design, develop, and maintain data pipelines and infrastructure, focusing on data needs for AI/ML models. Responsibilities include setting data infrastructure strategy, implementing data transformation processes, ensuring data quality, building data structures, and collaborating with cross-functional teams.
Top remote Companies in St. Louis, MO Hiring Data + Analytics Roles
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