Top Analysis Reporting Jobs in Washington, DC

Leads Wiley Research’s commercial analytics strategy, including KPI frameworks, executive dashboards, competitive intelligence, performance measurement, data governance, and scenario modeling. Advises executive and board-level leaders, aligns Finance and commercial reporting, consolidates fragmented data practices, and builds a trusted analytics capability across global teams. The role also develops analytical talent, drives self-service reporting, and translates complex findings into strategic decisions concerning growth, retention, investment, and market performance.

Designs, builds, and optimizes scalable data pipelines, warehouses, lakes, and platforms integrating complex network operations data. Uses Kafka, Elastic Stack, AWS, Kubernetes, and automation to support ingestion, transformation, analytics, dashboards, security, and compliance. Responsibilities include ETL/ELT, data validation, CI/CD, performance tuning, troubleshooting, documentation, and collaboration with analysts and visualization engineers. The role requires an active TS/SCI clearance, Security+ certification, and extensive data engineering experience in DoD or similarly secure environments.

Designs, administers, secures, and optimizes complex enterprise database environments for federal mission-critical applications. Responsibilities include performance tuning, backup and recovery, data modeling, migration, integration, warehousing, analytics support, technical troubleshooting, process improvement, architecture collaboration, and compliance with federal security and data management requirements.

Manages information governance, risk, and compliance initiatives focused on attorney and client onboarding, offboarding, client transfers, legal holds, and electronically stored information. Coordinates data identification, collection, classification, transfer, metadata accuracy, repository tracking, security controls, and workspace access. Supports attorneys and business teams, resolves policy inquiries, develops compliance procedures and educational materials, and contributes to technology workflows, integrations, analytics, and internal controls.

Designs and implements data architecture solutions, including data models, data flows, dictionaries, warehouses, and data lakes. Integrates data from multiple sources, ensures quality, integrity, and security, troubleshoots architecture and ETL issues, reviews technical configurations, and guides development teams. Collaborates with stakeholders, stays current on data management practices, and mentors junior staff supporting government programs.

Develop and maintain software, data pipelines, ETL workflows, automation, and databases supporting SAPRO's mission. Use R, SQL, Python, and Databricks for data extraction, transformation, manipulation, and analytical workflows. Troubleshoot and optimize pipelines, enhance software, define technical requirements, and collaborate with technical and non-technical stakeholders. The role requires at least three years of data engineering experience and an active Secret clearance.

Designs, builds, and maintains scalable Azure data pipelines and ELT frameworks using Databricks, SQL, Python, and PySpark. Implements Azure DevOps CI/CD, monitoring, security, infrastructure automation, and production support. Collaborates with BI teams on Power BI datasets, documents data solutions, participates in Agile delivery, and mentors junior engineers. The role requires strong data modeling, structured and semi-structured data expertise, performance tuning, and data governance awareness.

Supports social listening and digital analytics by developing search queries, organizing online conversation data, identifying trends and themes, and translating findings into concise insights, narratives, presentations, and reports. The intern will also learn analytical tools, apply new methodologies, and support internal AI projects while managing deadlines and collaborating effectively.

Develop and manage data pipelines, integrations, analytics solutions, ontologies, business object models, and enterprise data architectures using Palantir Foundry. The role supports data governance, quality, lineage, operational workflows, technical solution design, and cross-functional collaboration with technical and business stakeholders. Federal or Department of Defense experience and Agile experience are preferred. A DOD Secret clearance is required.

Designs, builds, and operates enterprise data lakes, warehouses, lakehouses, ETL/ELT pipelines, databases, and reporting platforms. Prepares governed, model-ready data for AI and machine learning, supports feature stores and embedding workflows, administers relational databases, optimizes queries and dashboards, and ensures data quality, security, availability, and disaster recovery. Collaborates with technical and business teams, reports to senior management, and mentors data engineers.