Top Analysis Reporting Jobs in Washington, DC

Build, maintain, and improve data integrations that extract, transform, and load retailer data into standardized schemas. Collaborate with engineering, Product, and Client Solutions teams to expand the data platform, improve reliability, monitor outages, and develop new integration capabilities. Work with data pipelines, cloud infrastructure, supply chain concepts, APIs, web scraping, browser automation, and EDI.

Leads enterprise data, applied technology, and AI strategy for The Nature Conservancy. Establishes federated data ownership, business-led data governance, responsible AI standards, use-case prioritization, adoption, and value realization. Advises executive leadership, builds a global team and data culture, manages budgets and vendors, and represents the organization externally on conservation data and responsible AI. The role partners with CIO-led technical teams to translate organizational priorities into measurable conservation and business outcomes.

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.

Designs, builds, maintains, and troubleshoots SQL queries and data extracts for financial and operational reporting. Transforms source data into reliable datasets, automates recurring processes, validates and reconciles data, identifies quality issues, and supports integrations between systems and analytics platforms. The role also documents data flows and technical processes while supporting federal law enforcement clients.

Manages global partnership data systems, policies, reporting, measurement frameworks, and capacity-development administration. The role ensures accurate, governed, audit-ready data; supports donor and grant reporting; analyzes partner performance; maintains knowledge repositories and the Protection Collaborative website; and coordinates cross-functional activities involving program teams, grants, finance, leadership, and external reviews.

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.

Leads globally distributed database operations supporting mission-critical Department of State systems. Manages database support staff, Tier II/III operations, monitoring, performance, availability, capacity, automation, security, and reliability. Designs data warehouses, dimensional databases, data models, metadata repositories, architectural strategies, interfaces, partitions, indexes, backup processes, and database standards. Translates business requirements into scalable architecture solutions and coordinates staffing, training, reporting, project controls, and customer support.

Provides customer data management, reporting, trend analysis, and actionable insights to support Customer Success Managers and program goals. Develops reporting processes, identifies customer behavior patterns, recommends proactive strategies, supports strategic projects, and improves operational efficiency. Collaborates cross-functionally to connect business intelligence with customer outcomes and advises on performance, engagement, and value realization. Requires up to 30% travel.

Develop and architect MicroStrategy business intelligence solutions for clients. Gather and document requirements, select appropriate platform functionality, build metadata objects, reports, dashboards, metrics, templates, and filters, and support demonstrations and design sessions. Collaborate within Scrum teams to configure, troubleshoot, and enhance Strategy products. Advise on architecture, database design, data warehousing, security, Intelligence Server performance, and platform efficiencies while serving as a client-facing BI subject matter expert.

Design, build, and operate Azure-based data pipelines and integrations. Consolidate data from multiple sources into centralized SQL systems, perform transformations and field mapping, and maintain data warehouse capabilities. Troubleshoot quality, integrity, latency, security, and reliability issues while applying governance, monitoring, and SLA practices. Collaborate with engineers, analysts, and stakeholders in Agile pods to deliver reusable, analytics-ready data assets.