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

The Control Tester - Data & AI Governance leads testing activities for Data and AI Governance controls, assessing their effectiveness, documenting findings, and communicating with stakeholders.

The Market Fundamentals Intern will analyze energy market data, support data interpretation, assist in creating presentations, and handle data organization.

The role involves leading statistical programming activities, mentoring programmers, overseeing clinical programming deliverables, and ensuring quality and compliance in regulatory submissions.

The Data Engineer will design and maintain data pipelines, optimize SQL queries, implement data workflows, and ensure data quality. The role demands collaborative problem-solving and technical communication skills to support analytics and business intelligence efforts.

The Senior Data Engineer will scale and evolve the data platform, develop ETL/ELT pipelines, establish best practices, and optimize systems for performance while collaborating with various teams.

The Actuarial Analyst will analyze and prepare insurance product filings, ensure compliance with regulations, and improve filing processes with a focus on hazard and catastrophe products.

The Senior Data Analyst will collaborate across teams to provide insights, build analytics databases, create dashboards, and automate reporting solutions. They will analyze data trends and partner with IT and product teams to enhance data models.

As a Data Scientist in Customer Analytics, you will analyze customer data, measure Cresta's impact through experiments, and build dashboards for insights. You'll collaborate with cross-functional teams and support strategic customer initiatives.

As a Sr. Staff Deployment Strategist, you will drive business transformation by partnering with clients to design and implement AI-powered data intelligence solutions, ensuring value realization and client integration.

The role involves writing and deploying scripts for data collection, transforming data sets, diagnosing bugs, and collaborating with other engineers using agile principles.