Top Senior Analysis Reporting Jobs in Washington, DC

Lead and oversee end-to-end polling operations: design and program surveys, construct samples, compute weights, analyze results, produce toplines/crosstabs, coordinate with data science, manage and mentor polling staff, and improve polling processes and vendor relationships to deliver client insights.

Lead design, governance, and implementation of enterprise data and AI architectures. Define standards, mentor engineers, review projects, document target-state architectures, and drive adoption of scalable cloud data solutions.

The Senior Analyst will lead empirical research and analytics, design datasets, present insights to clients, and collaborate across teams in healthcare analytics.

The Analytics Manager will lead analytics for the Payments and Identity lifecycle, manage a team of analysts, develop KPIs, and ensure data quality while collaborating with cross-functional teams.

The Data Analyst will build data pipelines, analyze complex datasets, and provide insights to support decision-making across multiple stakeholders in GFiber.

Provide pre-sales technical leadership for field sales: design and validate data management and analytics solutions, lead POCs/demos, perform systems integration, and advise on cloud data platforms, unstructured data processing, RAG/GenAI, ETL/ELT, governance, BI and ML workflows.

The Data Analyst will manage and analyze project data for HQMC's decision support tool, ensuring integration from various sources and reporting on milestones.

The Data Analyst designs Power BI reports, analyzes data using Snowflake SQL, supports ETL processes in Azure, and collaborates with stakeholders to drive insights.

The Manager I, Analytics will lead a team to enhance data models, ensure data quality, troubleshoot issues, and manage analytics workflows, impacting healthcare information delivery for beneficiaries.

The Senior Alternatives Data Analyst will manage critical data for investment processes, collaborate with investment teams, ensure data quality, and support analytics use cases while driving operational transformation.