Top Analysis Reporting Jobs in Washington, DC

Build and operate a Kubernetes-based data platform spanning lakehouse storage, ingestion, transformation, entity resolution, lineage, and data quality. Develop batch and streaming pipelines across heterogeneous and disconnected environments, create full-stack tools for subject matter experts, and expose documented APIs for applications and AI agents. Collaborate with product, AI/ML, infrastructure, mission partners, and field teams while mentoring engineers and supporting secure, air-gapped deployments.

The AVP, Data Engineer will design and build data ingestion, transformation, and replication pipelines using SQL, Python, dbt, and Dagster. Responsibilities include translating requirements into technical designs, developing data products, debugging production issues, supporting testing, and improving data engineering practices. The role also involves data modeling, mentoring junior engineers, conducting code reviews, and providing technical leadership while remaining hands-on. Experience with modern data platforms, workflow orchestration, cloud ecosystems, and insurance or financial services is preferred.

Design and build cloud-agnostic Databricks Lakehouse architectures, scalable ETL/ELT pipelines, and production AI data workflows. Optimize Apache Spark performance, integrate MLflow for model deployment, and implement CI/CD and Infrastructure-as-Code using Terraform or Databricks CLI. Enforce governance, security, and compliance standards through Unity Catalog and cloud platforms. Collaborate with architects, scientists, product managers, and client engineering teams to deliver documented, production-ready solutions.

Leads enterprise information architecture, business intelligence, and data warehouse strategy and delivery. Oversees BI and data warehouse teams, establishes roadmaps and governance, mentors technical staff, manages project priorities, and ensures high-quality implementation. Designs enterprise data models, datamarts, metadata, ETL processes, reporting strategies, and integration artifacts. Partners with business and technology stakeholders to align data solutions with strategic goals, improve adoption, track value, and drive continuous improvement.

Analyze survey data, apply statistical sampling and analysis methods, prepare reports, charts, and tables, and communicate findings to survey stakeholders. The role supports the Department of State’s Directorate of Passport Services and requires collaboration with survey methodology personnel, technical briefings, and clear written and verbal explanation of statistical results.

Conducts competitive intelligence research and analysis across companies, industries, technologies, markets, and competitors. Delivers actionable insights supporting business development, growth, client retention, and strategic decisions. Monitors trends and key clients, tracks research requests, improves CI processes, supports research-tool implementation, and evaluates legal technologies. Requires strong analytical, written communication, organizational, and collaboration skills, plus proficiency with Microsoft Office and research platforms.

The Senior Data Analyst will provide analytical support for military assistance programs, ensuring data integrity, visualizations, and trends analysis while collaborating closely with clients.

Develops and administers the organization’s information management system and plan, including governance, records management, lifecycle controls, data classification, security, privacy, data quality, compliance, and information architecture. Establishes policies, retention schedules, standards, documentation, and performance measures; supports information systems and audits; provides training and recommends continuous improvements. Requires onsite work in Albuquerque or Washington, DC, and a Department of Energy Q-level clearance or ability to obtain one.

Leads enterprise data strategy execution, portfolio investment prioritization, data operations, quality, governance, service management, adoption, and value realization. Establishes roadmaps, operating standards, governance practices, metrics, and executive reporting for critical data assets. Partners with engineering, product, finance, commercial, legal, compliance, and Blue Plan stakeholders while leading teams across data strategy, operations, quality, governance, and product management.

Leads performance measurement, KPI development, reporting, and data-driven decision support for federal programs. Analyzes data from databases, APIs, files, and Amazon S3 using Python and SQL; develops validation methods, dashboards, reports, and analytical narratives. Partners with engineering, product, UX, delivery, and government stakeholders; evaluates generative AI outputs; establishes data quality standards; mentors colleagues; and translates ambiguous client needs into practical recommendations.