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

The Business Analyst collaborates with teams to identify needs, gather requirements, improve operations, and ensure IT solutions align with business objectives, especially within the healthcare industry.

As a Senior Data Engineer, you will design and maintain data warehouses, ensuring data quality, manage data transformations, and mentor others while partnering with various stakeholders.

As a Senior Data Analyst, you will leverage data and visual analytics to design dashboards, collaborate with teams, and ensure data integrity while working on public-sector projects.

Investigate financial transactions to identify potential money laundering activities, utilize AI for analysis, document findings, and collaborate with product teams on improvements.

As a Lead Data Engineer, you'll optimize data workflows, manage data engineering projects, mentor junior engineers, and ensure robust data solutions meet business needs.

The Data Engineer I is responsible for building reliable ELT/ETL pipelines, implementing data quality checks, and optimizing data models using dbt, while collaborating with stakeholders to ensure data reliability and consistency.

Lead data initiatives, develop machine learning models, conduct analysis to improve programs, and collaborate with cross-functional teams to drive results for health insurance enrollment.

Lead the design of DataOps platforms, focusing on scalable data infrastructures and automation frameworks. Oversee robust data orchestration and establish quality frameworks.

The Senior Analyst, GTM Analytics will analyze GTM performance, build reporting tools, and support decision-making in Sales and Revenue Operations. Requires strong analytics and cross-functional collaboration skills.

The Senior Marketing Analyst will analyze marketing campaign data, build reporting capabilities, provide insights, and automate deliverables to enhance marketing performance and ROI.

Design, architect, and deliver services for Ensemble's products while collaborating with cross-functional teams and mentoring junior engineers.

Support to evaluate and implement scalable data infrastructure. Work with technical teams to optimize data delivery and build reliable data systems. Expertise in data modeling, integration patterns, and data quality assurance is essential.