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

The Senior Director will establish and lead the Real-World Data & Analytics group, oversee RWD strategy, engage in complex analytics projects, and build a high-performing team in the oncology domain.

The Senior Analytics Engineer will build data models and dashboards, ensuring data quality and governance, while collaborating with teams to answer business questions and improve resident engagement.

The Business Systems Analyst will analyze business requirements, document processes, and develop scalable solutions for Salesforce to enhance sales operations.

The Senior Taxonomist classifies transactions, manages taxonomy updates, mentors teams, and collaborates on projects in the Data & Marketing Solutions group.

The Senior Data Engineer will build and maintain ETL pipelines, enhance entity resolution processes, implement risk calculation logic, and collaborate with product and development teams to refine requirements and manage data releases.

The Business Systems Analyst III will bridge the gap between business and technology stakeholders, manage Agile processes, create user stories, and perform complex data analysis to support product development in the financial services sector.

The Senior Business Analyst collaborates with teams to transform data into actionable insights, leads projects, educates users, and recommends improvements across business processes using data analysis.

The Analytics Manager, GTM at Docker will develop and manage dashboards for the Sales team, leveraging SQL and data to drive pipeline generation through actionable insights, while ensuring data accuracy and usability.

The AI Systems Analyst III evaluates AI projects for technical feasibility, maintains the AI Registry, analyzes data quality, and documents requirements for implementation.

The Senior Product & Growth Analyst will lead the analytics behind Trust & Will's growth, focusing on conversion, retention, and lifetime value analysis. Responsibilities include building predictive models, conducting experimentation, and delivering data-driven recommendations to stakeholders. The role involves collaborating across product, marketing, and growth teams, with a strong emphasis on user behavior and funnel analysis.