Top Remote Senior Level Data & Analytics Jobs in Washington DC,

The Client Data Exchange Manager at Abarca leads data-related initiatives, ensuring technical needs are met for clients. Responsibilities include client consultations, troubleshooting data exchange issues, analyzing client-specific data, managing implementation of controls, and coordinating training for clients.

The Senior Database Administrator is responsible for managing the ADABAS Database environment, including installation, customization, maintenance, performance tuning, security management, disaster recovery planning, and the implementation of new technologies. They collaborate with development teams to optimize database queries and support both structured and unstructured data management.

As a Senior Data Analyst at Antenna, you'll be responsible for designing and building data solutions, ensuring timely and accurate data delivery, analyzing datasets for quality issues, and mentoring junior analysts. You will collaborate with commercial teams to support data-driven decision-making and optimize data processes.

The Head of Analytics at Peerspace will lead the analytics team, develop data strategies, and drive decision-making through data insights. Responsibilities include optimizing analytics infrastructure, establishing reporting frameworks, and collaborating with cross-functional teams to enhance marketplace efficiency.

The Principal Data Scientist will optimize Kajabi's data ecosystem, providing insights and strategic recommendations to enhance growth, engagement, and revenue across multiple functions. Responsibilities include developing data strategies, building predictive models, conducting business impact analyses, and communicating findings to senior leadership.

The role involves building and maintaining a secure cloud-hosted laboratory for data science teams at the US Department of Treasury. Responsibilities include developing data pipelines, implementing tools like Databricks, managing AWS services, and ensuring compliance with data security and AI principles.

The Principal Data Engineer will architect and implement scalable data solutions, lead the data engineering team, optimize data performance, and ensure data governance and security compliance. The role involves collaboration with product managers and technical mentorship to enhance the data ecosystem of the organization.