Top Data & Analytics Jobs in Washington DC,

Analyze product and business data to define KPIs, build reliable analytics models and dashboards, and partner with cross-functional teams to surface insights, improve data quality, and support forecasting and experimentation.

As a Marketing Analyst, you will analyze marketing data, provide insights, and create reports and dashboards to optimize marketing efforts across various channels and products.

Lead end-to-end data acquisition, ingestion, curation, and storage for foundation models (3D, video, image, audio). Ensure legal compliance, negotiate vendor contracts, develop tooling and standards for searchable, indexed datasets, and align data strategy with research and product roadmaps while managing cross-functional teams and vendor relationships.

Lead a team of data analysts, ensuring accurate reporting, data integration, and analytics presentations while collaborating with agency partners.

As a Data Analyst at Blue Rose Research, you will design surveys, manage data collection, analyze data, and compile insights for political strategists, working closely with a diverse team and stakeholders to provide strategic guidance.

Lead the design and implementation of algorithmic trading strategies, oversee technical infrastructures, and mentor a multidisciplinary team while managing performance analysis and risk.

The Workday Finance Analyst supports financial operations, configures Workday Financials, enhances workflows, manages projects, and provides user support to ensure efficient finance processes.

Own end-to-end data pipelines for multiple clients: extract, clean, transform, model and visualize data. Build dashboards and automated workflows, apply AI where useful, and present actionable insights to non-technical stakeholders.

Lead GTM productivity analytics: build and maintain predictive capacity models and dashboards, analyze GTM performance and attainment, support planning and forecasting, align metrics across Ops/Finance, and partner on data infrastructure improvements to drive GTM efficiency and growth.

Serve as a subject matter expert for data requests and system updates: design database structures, build and maintain data pipelines, write and optimize SQL, clean and transform data with SQL and Python, create dashboards and visualizations, analyze large datasets, and automate processes to improve data quality and workflows.