Top Analysis Reporting Jobs in Baltimore, MD

Leads database engineering for a secure enterprise initiative, designing database architectures, queries, storage and retrieval systems, parsers, loading software, workflows, and REST-based microservices. The role directs requirements from project inception through completion and supports cloud-based development, process automation, continuous monitoring, and system updates. Requires Python, MongoDB or MariaDB, Django or Flask, microservices experience, a technical bachelor’s degree or equivalent experience, and TS/SCI with Polygraph clearance.

Build and maintain databases, data warehouses, and ETL/ELT pipelines for client data solutions. Consult with clients to translate technical needs into data architectures, ensure data quality and governance, optimize system performance, and support secure, compliant data integration. Collaborate with data integration engineers, business analysts, software engineers, and technical and non-technical stakeholders in a client-facing role.

Develops and supports Oracle database solutions, including complex SQL and PL/SQL objects, performance tuning, security, data governance, quality management, and migration initiatives. Performs ETL/ELT, data validation, reconciliation, conversion, and post-migration verification while maintaining metadata, lineage, documentation, and data dictionaries. Collaborates with data owners, developers, DBAs, business users, and project managers. Requires five or more years of Oracle development experience and an active TS/SCI clearance with polygraph.

Develop and maintain high-performance cloud-based analytics solutions processing large data volumes. The role requires expertise in data analytics, big data, distributed computing, and technologies such as Spark, MapReduce, SQL/NoSQL, and scientific Python libraries. The engineer will support mission-critical software and systems for a U.S. Government customer, working independently and collaboratively while contributing to a technical, security-focused engineering environment.

Leads database architecture, administration, migration, performance tuning, security, resilience, and production support for a CRM modernization effort. Migrates Oracle Siebel data to AWS PostgreSQL environments, develops ETL processes, validates data quality, supports integration with Pega and enterprise systems, and ensures compliance with availability, FedRAMP, and CMS requirements. Provides technical guidance, documentation, troubleshooting, cutover support, and stakeholder communication.

Performs metadata corrections, validation, standardization, and remediation in Alma while maintaining accurate bibliographic information, identifiers, and documentation. Follows agency-approved governance, change-control, sandbox, freeze, audit, and quality-assurance procedures. Documents updates, reports issues through established channels, and supports federal clients handling Controlled Unclassified Information. Requires library metadata standards experience, basic Python or automation skills, strong documentation, and eligibility for Public Trust or suitability determination.

Performs metadata cleanup, remediation, validation, and quality assurance in Ex Libris Alma for a federal research library. Reviews bibliographic and research metadata, verifies scholarly identifiers, applies MARC, RDA, Dublin Core, authority-control, and controlled-vocabulary standards, and uses Python or related tools for analysis and automation. Executes approved changes within governance and change-control procedures, maintains audit documentation, prepares progress reports, and collaborates with library, technical, and government stakeholders.

Leads the Data Architecture, Tools, and Metrics team within Quality and Mission Assurance. Develops data strategy, drives analytics adoption, monitors operational data, and delivers recommendations. Designs scalable data pipelines, ETL processes, analytics data models, and data quality frameworks. Partners with stakeholders and sector leaders to solve operational issues, presents complex analytics, and leads cross-functional engineering teams delivering customer-driven products.

Supports data governance for acquired-company integration initiatives by maintaining inventories, metadata, ownership records, retention documentation, quality trackers, lineage, issue logs, and readiness materials. Reviews structured and unstructured content, coordinates data stewards and cross-functional stakeholders, documents privacy and compliance requirements, tracks approvals and legal holds, and assists with migration, archival, decommissioning, and analytics enablement activities.

Conducts research and analysis of workload and operational data, creates customer-focused reports, identifies trends and reporting issues, and provides insights and recommendations to improve efficiency. Supports contract teams, management, outreach, and training while handling confidential information and meeting strict deadlines. The role requires strong analytical, organizational, communication, and computer skills, including Access, Excel, reporting extracts, and Web Intelligence.