Top Data & Analytics Jobs in St. Louis, MO
The Senior Data Engineer will design, develop, and maintain data pipelines and infrastructure, focusing on optimizing data for AI/ML models. Responsibilities include leading the creation of data warehouses, ensuring data quality, and collaborating with cross-functional teams to meet data requirements for machine learning applications.
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The Billing Analyst will manage client invoice processing, ensure accuracy, and handle accounts receivable. Responsibilities include reviewing contracts, interacting with customers for problem resolution, assisting with month-end close, monitoring collections, and supporting internal audits. The ideal candidate should have strong analytical skills, attention to detail, and a proactive approach to streamline processes.
The Senior Data Analyst will work within the Analytics team to analyze seller behaviors, define key metrics, and drive decisions that improve the Supply product's effectiveness. Responsibilities include conducting analyses, performing A/B testing, partnering with engineers, and communicating insights to influence product development.
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As a Revenue Operations Analyst, you will optimize Go-To-Market processes, enhance data accuracy, and provide actionable insights for strategic decision-making. You'll collaborate with sales, marketing, and customer teams to improve revenue efforts, develop dashboards for KPIs, and support the implementation of scalable tools and technologies.
The Senior Database Engineer will design, implement, and optimize cloud-based Oracle databases to support enterprise risk management software. Responsibilities include overseeing database architecture, performance monitoring, and administration, as well as mentoring junior team members and ensuring operational seamlessness.
As a Data Scientist at Monte Carlo, you will design and implement production-grade machine learning algorithms, lead ML projects, and solve complex challenges related to anomaly detection and prediction. This role requires collaboration with a team of data scientists and engineers in a fast-paced startup environment, focusing on enhancing data reliability.
As a Senior Data Scientist, you will leverage organizational data for insights that enhance user experiences and boost business efficiency. Key responsibilities include developing predictive models, deploying advanced analytics solutions, and collaborating with cross-functional teams to solve complex transportation challenges. The role emphasizes creativity, problem-solving, and a deep understanding of business needs.
As a SOC Analyst, you will monitor security events, perform threat analysis, and respond to incidents. Responsibilities include developing response procedures, providing guidance to the security team, and staying updated on security threats. You will work independently with customers and troubleshoot basic issues.
The Senior Scientist will develop quantum chemistry algorithms, collaborating with cross-functional teams to create optimized quantum workflows and address real-world problems using IonQ's quantum computers, while building reusable software platforms.
The Data Governance Manager will lead the organization's data governance activities, manage data access, ensure compliance with regulatory requirements, improve data quality, and develop a strategic roadmap for data governance. This role involves collaboration with business leaders and oversight of the enterprise data inventory.
Top Companies in St. Louis, MO Hiring Data + Analytics Roles
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