Top Senior Data & Analytics Jobs in Washington, DC

The role involves leading data architecture strategies and driving innovation in data solutions while ensuring compliance with governance policies. Responsibilities include translating data requirements into technical plans, overseeing advanced data technologies, and fostering collaboration among stakeholders.

The Senior Data Analyst collects and analyzes large datasets, develops visualizations, ensures data integrity, and collaborates on tailored analytical solutions.

The Staff Data Engineer will lead design and implementation of analytics platforms and data products, collaborate cross-functionally, mentor engineers, and drive best practices at Upside.

The Senior Data and Systems Manager leads data validation and analytics, manages systems support for Refugee Resettlement, and resolves application issues while overseeing team functions.

The Sr. Business Analyst will support Category Management work by conducting analyses, developing business cases, and generating insights for decision-making, requiring strong communication and analytical skills.

The Senior Data Analyst oversees data analytics projects, managing processes from data collection to deliverable completion, providing analysis and modeling, and coordinating with legal personnel.

The role involves setting a strategic direction for data reporting and accountability, managing data systems, ensuring compliance, and leading a data team to provide insights for decision-making in K-12 education.

The Senior Manager-Quality Engineering & Automation will lead quality engineering practices, oversee testing frameworks, manage teams, and promote automation and quality excellence in software delivery.

The Data Scientist will analyze data to identify trends and develop visualizations, supporting decision-making for financial management within the FBI. Responsibilities include data integration, model design, and delivering dashboards to drive business intelligence.

The Senior IT Data Engineer will design and maintain scalable data pipelines, ensuring data integrity and quality across platforms while collaborating with teams to support analytics and reporting needs.