Top Remote Senior Level Data & Analytics Jobs

As the Manager of Data Strategy and Insights, you will create measurement platforms to inform marketing successes and identify insights for client investment decisions. You will lead the development of analytical business rules and support sales teams with various analytics solutions based on extensive data analysis, ensuring the creation of statistically valid campaigns with actionable recommendations.

As a Senior Data Scientist at RevenueCat, you will create data models, dashboards, and reports to help developers make informed decisions. You'll collaborate with product and data teams to enhance data features, build predictive models, and contribute to the data tech stack, ultimately shipping features that drive customer value.

As a Senior ETL Data Engineer, you will develop and maintain ETL processes using Informatica PowerCenter, perform data analysis, support data warehouses, and collaborate with users to enhance data delivery for financial operations.

The Sr. Data Engineer will manage and optimize vector databases, lead data infrastructure migrations, ensure reliable performance and scalability of data systems, implement cloud solutions, and apply SRE practices to enhance system availability. Collaboration with cross-functional teams and troubleshooting issues related to data infrastructure is also key.

As a Data Analyst, you will analyze and optimize digital customer journeys, focusing on enhancing user experience on federal government websites. Responsibilities include building analytical models, utilizing advanced analytics, and performing data engineering tasks to support a federal client in the Baltimore-Washington area.

The Data Architect at CapTech will align clients' business goals with technology solutions, enhancing data use and management. Responsibilities include advocating for data technologies, interpreting strategic plans for data quality, mentoring staff, collaborating with stakeholders, and driving innovative solutions.

The Lead Data Engineer will manage and mentor a data engineering team to deliver data solutions for clients. Responsibilities include overseeing data pipeline development, ensuring client integrations, applying data best practices, and managing project timelines while contributing hands-on to technical decision-making and code reviews.