Top Senior Analysis Reporting Jobs in Washington, DC

Architect and maintain secure, scalable data platform infrastructure and resilient batch and streaming pipelines. Build infrastructure using Terraform and Helm, deploy cloud data services, optimize schemas and database performance, and implement monitoring and alerting. Partner with application teams to resolve data issues, establish governance practices, and support MLOps through model versioning, containerization, and deployment.

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.

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.

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.

Lead migration of Informatica PowerCenter ETL workloads from on-premises Oracle infrastructure to Oracle Cloud Infrastructure. Assess, configure, migrate, validate, troubleshoot, and optimize enterprise ETL processes across environments. Develop data reconciliation and source-to-target validation, resolve performance and connectivity issues, coordinate cloud and database dependencies, and maintain migration documentation, test plans, runbooks, and recovery procedures. Support production readiness, change control, defect resolution, security processes, and knowledge transfer for the VA Enterprise Data Warehouse.

Develops dashboards, reports, scorecards, and analytical products using BI and visualization tools. Analyzes and integrates data from multiple sources, performs trend and performance analysis, translates stakeholder needs into reporting requirements, and presents insights to technical and non-technical audiences. The role also supports reporting validation, quality controls, data governance, documentation, and collaboration with data engineers, data scientists, and federal program stakeholders.

Analyzes marketing and CRM data, builds KPI dashboards, provides campaign and business development recommendations, and manages Salesforce administration, automation, audits, permissions, and data quality. The role validates integrations, supports migrations, troubleshoots system discrepancies, identifies enrichment opportunities, and provides user onboarding, training, and documentation. It collaborates across marketing and business development teams to improve prospecting, relationship management, cross-selling, client acquisition, and retention.

Build and maintain enterprise BI dashboards, data models, reporting layers, data quality metrics, and governance reporting for USDA human capital systems. Translate stakeholder requirements into scalable BI products, support Databricks Lakehouse architecture and migration, manage metadata and data lineage, develop validation scripts, coordinate user acceptance testing, and ensure data quality, security, and governance compliance.