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

The ROC Risk Analyst I will produce reports for clients on cyber risk profiles, analyze advanced cyber threats, correlate adversary tactics, and create threat intelligence reports. The role involves supporting incident response and interacting with customers to refine threat intelligence products and services.

The Senior Data Scientist will develop innovative auto pricing models and process telematics data for feature engineering. Responsibilities include mentoring junior scientists, collaborating with cross-functional teams, and presenting data-driven strategies to leadership. The role requires leading end-to-end data science projects and optimizing cloud-based environments.

The Data Strategist will manage measurement strategies for marketing campaigns, leveraging data analysis, statistical modeling, and customer insights. Key responsibilities include identifying performance insights, maintaining client relationships, presenting findings, and improving reporting processes.

The Senior Compliance & Privacy Analyst will assess systems for FedRAMP compliance, manage continuous monitoring activities, maintain documentation, and collaborate with engineering teams to ensure compliance is met. Key responsibilities include vulnerability assessments, assisting in authorization packages, and developing Compliance Framework artifacts.

The Senior Data Engineer will develop and manage a robust data ingestion platform using Azure technologies and tools. Responsibilities include designing data pipelines, writing complex SQL queries, participating in agile ceremonies, and ensuring data quality and validation in the data warehouse.

As a Lead Data Operations Analyst, you will aggregate, manage, verify, and ensure the quality of data files, handle inbound and outbound data transfers, and document processes. You will work with IT Security to maintain data integrity and develop automated processes for data management.

As a Senior Product Data Analyst, you will support the Product organization by curating data, uncovering insights, and creating dashboards. You will own the Product Analytics data catalogue, improve data quality, align the team around key metrics, manage experiments, and analyze product experience changes for better outcomes.