Top Remote Data & Analytics Jobs

The Principal Data Engineer will lead data governance, architecture, and team development to unify data across systems while ensuring quality and compliance. Responsibilities include building data pipelines, establishing governance frameworks, and collaborating with cross-functional teams to drive data-driven insights and operational efficiencies.

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

Lead and scale the Analytics and Data Science functions, empowering teams to deliver insights that drive business outcomes and foster a data-driven culture.

The Clinical Data Manager oversees clinical trial databases, creates documentation, reviews data, trains staff, and ensures compliance with regulatory standards.

The CJA Business Analyst translates business analytics requirements into actionable tasks within Adobe Customer Journey Analytics, ensuring accurate reporting and effective migration from Adobe Analytics. Responsibilities include requirement gathering, validation, documentation, and collaboration with stakeholders.

Support and enhance actuarial modeling solutions, manage workstreams, collaborate with teams, and provide user support for model-related queries.

The Senior Analyst will operationalize data governance policies, develop standards and guidelines, manage data quality, and collaborate with teams to enforce governance standards and enhance data quality across the organization.

The role involves designing and building data processing pipelines, managing data accessibility and security, collaborating with teams, and mentoring junior engineers.

The Senior Data Engineer will architect and maintain data platforms, build scalable data infrastructure, mentor teams, and drive healthcare data improvements and product integration.

The Data Architect leads enterprise data architecture initiatives, developing strategic designs that align with business goals while implementing data governance and quality practices. Responsibilities include modeling data requirements, conducting stakeholder workshops, overseeing governance platform implementations, and providing thought leadership on emerging data practices.