Top Senior Analysis Reporting Jobs in Washington, DC

Provides analytics-driven advisory support for mergers, acquisitions, and other business transactions. Analyzes contract data to identify risks, obligations, performance insights, and compliance indicators; develops algorithms, data models, pipelines, visualizations, and machine learning solutions. Integrates multiple data sources, validates data integrity and security, communicates findings to clients, and mentors junior team members.

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 Staff Implementation Engineer will lead complex data integrations, develop big-data pipelines, and mentor engineers, ensuring high standards for data security and governance.

Administer and optimize SQL Server, AWS Aurora, PostgreSQL, and related database environments supporting federal workforce reporting. Responsibilities include performance tuning, backup and recovery, replication, data integrity, reporting support, incident troubleshooting, Tier 2/3 support, security controls, audit logging, vulnerability remediation, and technical documentation. The role requires prior Department of Labor IT program experience, federal database administration expertise, and eligibility for DOL Public Trust suitability.

Performs revenue, pricing, economic impact, competitive venue, KPI, forecasting, and statistical analyses supporting Events DC sales and business growth. Develops reports, recommendations, ROI and cost-benefit analyses, metrics, presentations, and requirements documentation. Partners with sales, convention management, corporate partnerships, sports, and entertainment leadership to optimize venue bookings, financial performance, and event business strategies across Washington, DC-area properties.

Designs and maintains scalable data solutions on Palantir Foundry for FAA enterprise platforms. Responsibilities include modeling data with Palantir Ontology, developing data objects, actions, applications, workflows, pipelines, and AI integrations, while supporting governance, security, APIs, documentation, training, users, and stakeholders.

Develops and supports data management and governance systems for a U.S. Department of State monitoring, evaluation, and learning platform. Responsibilities include integrating and validating data, establishing quality and metadata standards, creating dashboards and visualizations, preparing reporting datasets, translating findings into insights, and training stakeholders. The role requires collaboration with program offices, embassies, partners, and technical teams, along with a Secret clearance and international travel as needed.

Analyzes healthcare enrollment systems and EDI integrations, gathers and documents requirements, writes SQL queries, validates and reconciles data, supports testing and defect management, and provides application monitoring and issue triage. Level III responsibilities include advanced SQL, automated validation, API and data model analysis, complex specifications, cross-functional leadership, vendor evaluation, and coaching junior analysts.

Analyze single-family mortgage portfolio risk and support development of an acquisition portfolio optimization tool. Research emerging market, regulatory, and macroeconomic risks; define model requirements with cross-functional teams; assess trends, relationships, forecasts, scenarios, and stress tests; mentor junior analysts; and present recommendations to senior management and stakeholders.

Supports Air Force Mission Assurance workflows through data integration, automation, dashboard enablement, workflow configuration, governance, and lifecycle management. Coordinates classified data access, maps data sources, develops Foundry pipelines and ontology models, applies data quality controls, and translates analytical and AI-driven insights into decision products for senior leaders. Provides office workflow, meeting, senior staff, and classified VTC support while ensuring data security, lineage, traceability, and policy alignment.