Top Senior Analysis Reporting Jobs in Washington, DC

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.

Lead Deals practice analytics by applying advanced analytics, visualization, and statistical modeling to extract insights, advise clients, drive business development, maintain executive client relationships, oversee multiple projects, ensure data integrity and security, promote innovative analytics technologies, and mentor analytics teams to deliver client growth and thought leadership.

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

The Senior Analyst in AML KYC will conduct detailed customer onboarding, monitor client relationships for compliance, and update KYC records while utilizing AI tools for efficiency.

As a Data Architect, responsible for leading the Enterprise Data Management project, supporting project goals, data governance, quality, and ensuring effective data delivery and analysis.

Design, build, and sustain dashboards and BI solutions (Power BI/Tableau) to present KPIs and operational metrics. Gather stakeholder requirements, develop semantic models and measures, validate data accuracy and performance, provide user training and documentation, and enhance existing reporting for leadership and program teams.

Manage and administer authoritative databases and shared datasets, design data models, build ETL processes, enforce data quality, document data flows, optimize datasets for reporting and Power Platform, and support migrations, performance tuning, and data issue resolution.

Senior Addepar data engineer/analyst responsible for supporting and scaling Addepar integrations, building and maintaining data pipelines (Addepar↔Snowflake/Canoe/other platforms), diagnosing and resolving data quality issues, developing SQL-based reconciliations and automation, partnering with business and technology stakeholders, and supporting production operations, governance, testing, and documentation for wealth and asset management data.

Lead development and delivery of BI dashboards and reports, architect scalable BI systems, ensure data quality and governance, perform advanced analysis and forecasting, provide strategic recommendations, establish standardized data models, mentor junior analysts, and communicate insights to stakeholders to inform business decisions.

Design and implement enterprise data architectures including conceptual, logical, and physical models. Define data standards, governance, metadata management, MDM, and integration strategies. Evaluate and recommend data technologies, ensure alignment with business needs, and maintain data security, privacy, and compliance for the DIA program.

Lead processing of survey data into cloud analysis tools, build dashboards and visualizations, train and support clients, collaborate across teams, and deliver high-quality work to meet project objectives and deadlines.