Top Analysis Reporting Jobs in Washington, DC

Supports and enhances an enterprise Palantir Foundry reporting environment for Department of Defense financial management and audit operations. Maintains dashboards, modifies reports, troubleshoots data and refresh issues, validates data quality, onboards data sources, and coordinates with engineering teams. Translates stakeholder requirements into technical updates, tests enhancements, documents data logic and lineage, supports releases, and provides production and end-user support.

Build, test, maintain, and improve data pipelines, data models, and ETL/ELT processes supporting firm analytics and reporting. Ensure data accuracy, reliability, governance, monitoring, and observability while troubleshooting quality issues. Collaborate with data engineers, product owners, and business stakeholders; document pipelines and schemas; participate in Agile ceremonies; and use Git for code changes. The role also supports data modernization and may involve cloud data platforms, orchestration tools, and AI/LLM technologies.

Support data mining, cleaning, analysis, dashboards, SEO and web analytics, marketing performance measurement, and AI workflow development. Collaborate with educators and technical teams to validate analytics models, build data infrastructure, test workflows, and identify student and business insights. The role requires quantitative skills, coding experience in Python or SQL, advanced Excel capabilities, and interest in AI and education technology.

Supports FAA implementation efforts by integrating and reconciling complex schedule, inventory, procurement, installation, and operational datasets. Builds repeatable data workflows, validates records, analyzes implementation risks and inventory gaps, prepares schedule updates, and develops dashboards and reports. The role documents data processes, investigates discrepancies, coordinates with schedulers and implementation stakeholders, and communicates progress, risks, and recommendations. Occasional client or company travel is required.

Analyzes large federal enterprise datasets in a secure government environment. Responsibilities include developing SQL queries, ETL/ELT workflows, structured datasets, statistical and analytical models, data visualizations, and reporting solutions. The role validates data ingestion, identifies trends and anomalies, supports AI/ML and non-AI/ML initiatives, conducts research, and translates government stakeholder requirements into reliable data-driven solutions.

Graduate intern supporting NRDC’s Science Office by developing a user-friendly knowledge management system for scientist-vetted environmental information. Responsibilities include synthesizing scientific literature, organizing internal scientific knowledge, creating AI search integrations, developing AI SOPs and prompts, and recommending ways to incorporate AI into organizational workflows. The role requires strong science and information systems or knowledge management credentials, collaboration, attention to detail, and onsite work in Washington, DC three days per week.

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.

Build and maintain dbt data models while migrating workflows from Alteryx, managing Dagster or Airflow pipelines, and supporting Redshift analytics. Partner with RevOps stakeholders to translate data into business insights, dashboards, KPIs, ABM initiatives, and customer health scoring. Explore LLMs, predictive analytics, and SageMaker machine learning for use cases such as churn prediction and lead scoring.

Designs and maintains scalable data pipelines, integration frameworks, databases, APIs, and enterprise data platforms. Develops data models and processing capabilities while ensuring quality, lineage, provenance, governance, security, and lifecycle management. Monitors performance, supports recovery and reconciliation, improves automation and reliability, and documents data standards and implementation guidance. Collaborates with engineering, analytics, and operational teams to deliver trusted data assets.

Leads the design, development, and delivery of dashboards, KPI frameworks, benchmark analyses, and reporting solutions. Integrates data from multiple systems, improves data quality, manages analytical standards, and translates business needs into actionable insights. Collaborates with cross-functional stakeholders, mentors analysts, reviews analytics products, supports program and portfolio reporting, and presents findings to executive and operational audiences.