Top Senior Data & Analytics Jobs in St. Louis, MO

Embedded, senior technical engineer who designs and builds AI-ready, cloud-native data architectures using Alteryx One and major cloud data platforms. Convert analytics workflows into production solution patterns, deliver pilots-to-production quickly, enable partner-led delivery, and create documentation and playbooks for scalable deployments.

The Analytics Manager analyzes complex datasets, builds models, conducts scenario analyses, and provides strategic recommendations to guide decision-making for leadership.

The Actuarial Specialist produces analyses, manages projects, and oversees team workload to enhance actuarial processes in the organization, ensuring business growth and profitability.

Design and deploy scalable data infrastructure and models, maintain CDC pipelines, build reporting tools and dashboards, write high-performance SQL, partner with product and engineering to enable enterprise-wide analytics and data-driven decision making.

The Data Engineer III will lead the development and maintenance of data infrastructure and tools, ensuring data integrity while driving strategic data initiatives.

The Senior Manager, Commercial Forecasting and Insights leads global forecasting, analytics, and insights to drive revenue performance through strategic partnerships with sales and finance leadership.

The Senior Fraud Strategy Analyst will design and optimize fraud strategies, monitor performance, develop metrics, and collaborate with teams to enhance fraud detection.

Lead and grow a software engineering team focused on RISC-V software ecosystem, collaborating with teams to establish RISC-V as the standard.

The Senior Analyst will support product engineering efforts by analyzing digital solutions, enhancing user experiences, and collaborating across teams to deliver insights and improvements.

Design, build, and maintain data lakes, data warehouses, and end-to-end data pipelines for a multi-tenant SaaS platform. Lead code and design reviews, write infrastructure-as-code, optimize performance and scalability, participate in data governance, mentor junior engineers, evaluate new technologies, automate tests, collaborate cross-functionally, and join on-call rotation to ensure reliable data delivery.