Top Senior Analysis Reporting Jobs in Washington, DC

Provides analytics and strategic advisory support for mergers, acquisitions, and other business transactions. Analyzes contract data to identify risks, obligations, performance insights, and compliance indicators; develops algorithms, data models, pipelines, dashboards, and predictive models using Python and machine learning. Collaborates with clients and internal teams, validates data integrity and security, mentors junior staff, and delivers data-driven recommendations.

Lead product analytics for Upsides consumer app: define KPIs and OKRs, design and analyze A/B tests, perform exploratory and root-cause analyses, forecast revenue impacts, build dashboards and data models, ensure robust instrumentation, and use AI tools to automate and scale experimentation and analytics workflows.

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.

Leads enterprise data management and governance initiatives for a classified Intelligence Community contract. Assesses data maturity, identifies capability gaps, develops enterprise data strategies and implementation roadmaps, defines governance frameworks and stewardship practices, and establishes standards for data quality, metadata, interoperability, sharing, and lifecycle management. Facilitates stakeholder workshops, builds consensus across organizations, produces executive briefings and governance artifacts, and aligns recommendations with security, classification, privacy, regulatory, and mission requirements.

Designs, builds, and maintains scalable data pipelines and ETL processes. Responsibilities include data modeling, schema design, performance optimization, query tuning, security and compliance, comprehensive logging, error handling, and cross-functional collaboration. The role also guides analysts, engineers, developers, and data consumers while developing scalable platforms for data processing and analytics.

Design, deploy, and maintain scalable data platforms and pipelines across cloud, on-premises, and disconnected environments. Lead data engineering activities involving Linux administration, security operations data pipelines, log collection, normalization, enrichment, and routing. Collaborate with analysts, developers, and data consumers in agile teams while troubleshooting service dependencies and performance issues. Apply DevOps, Kubernetes/OpenShift, configuration management, zero-trust principles, and federal cybersecurity frameworks in classified environments.

Lead data management, visualization, and reporting for DoS Political‑Military Affairs Security Assistance accounts. Build dashboards, automate reporting, transform data, and support interagency coordination to inform executive decision‑making.

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 personal lines insurance and digital product performance using SQL, BI tools, statistical methods, and financial modeling. Partners with product, experience, actuarial, finance, and operations teams to identify growth opportunities, optimize digital customer experiences, assess risks, support business cases, and influence leadership decisions. Applies AI and automation to improve analytical efficiency, communicates insights through presentations and reports, and mentors colleagues.

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.