Top Data & Analytics Jobs in Washington, DC

Develop data engineering algorithms and systems that transform structured and unstructured data into actionable insights. Analyze data using statistical and general-purpose programming languages, apply scientific methods, and help clients understand and use complex data. Collaborate in fast-paced environments while supporting data gathering, cleansing, parsing, and analysis across Windows and Linux environments.

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.

Builds and supports data feeds into Foundry, debugs missing or delayed feeds, develops Spark transformations and datasets, monitors builds, and creates platform applications. The role involves rapid application development with subject matter experts, troubleshooting, responding to data-footprint requests, collaborating with product teams, and debugging platform code. Strong programming, data structures, customer communication, independent decision-making, and teamwork skills are required.

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.

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.

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.

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.