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

Manage a team of data analysts for fraud detection, oversee project implementations, write user documentation, and ensure compliance with software development standards.

The Senior Business Intelligence Analyst will manage data processes, enhance data quality, analyze trends, and collaborate with stakeholders to present actionable insights.

The Senior Analyst will provide insights to drive business growth, assess portfolio risks, and implement pricing strategies while collaborating with various teams.

The Senior Analytics Engineer will design and maintain data models, build data pipelines, and optimize data infrastructure while collaborating with teams like Data Engineering and Data Science to support business intelligence and advanced analytics.

As an Analytics Engineer, you will design, build, and maintain data models and pipelines, collaborating with Data Engineering and Data Science teams to transform data into actionable insights while ensuring data quality and governance.

As a Lead Data Architect, you'll design enterprise-grade data platforms, ensuring compliance, scalability, and guiding teams in data modeling and governance.

Lead cost savings and impact modeling, develop actuarial methodologies, oversee analytics projects, partner with teams on data requirements, and assess financial impacts of new programs.

The Senior Actuarial Support Analyst will analyze healthcare data, produce client-facing reports, and present insights to stakeholders. The role involves collaboration with various teams to improve customer value and reporting accuracy.

As a Compliance Lead Analyst, oversee Transaction Monitoring investigations, optimize compliance processes, and collaborate with teams to enhance efficiency.

As a Staff Analytics Engineer, you will bridge data engineering, data science, and business analytics to generate actionable insights, build data models, and empower stakeholders across the organization.

Lead analytics engineering for finance data, delivering governed models and reporting solutions, improving data quality and controls, and partnering with multiple stakeholders.

The Principal Fraud Analyst will lead risk framework evolution, develop fraud metrics, collaborate on scalable solutions, and enhance risk detection capabilities in payments.

As a Data Analyst at Monte Carlo, you'll use SQL and user analytics to provide insights for product decisions, build dashboards, and create data models while collaborating with various teams to improve data usability.

The Staff Market Researcher leads research initiatives to support competitive positioning, brand strategy, and identify growth opportunities through comprehensive analysis and cross-functional collaboration.

The Senior Data Analyst will analyze data in Supply Chain and Manufacturing to drive recommendations, develop production management systems, and mentor junior analysts.