Top Analysis Reporting Jobs in Baltimore, MD

Provides database engineering and Oracle DBA support for complex, distributed intelligence systems. Responsibilities include database architecture, design, administration, migration, replication, backup and recovery, performance tuning, security, schema development, scripting, requirements analysis, documentation, and technical issue resolution. Collaborates with engineering, testing, security, management, and customer teams in an Agile environment, supporting high availability, capacity planning, system optimization, and quarterly PI Planning activities.

Leads program-wide reporting strategy, governance, executive performance reporting, dashboard development, and reporting automation. Integrates cost, schedule, cash flow, earned value, risk, change, and forecast data into accurate, decision-ready reports. Coordinates with Program Controls, Finance, and leadership, ensures data quality and audit traceability, and supports federal, public-sector, and infrastructure reporting requirements.

Leads enterprise clinical terminology, ontology strategy, semantic normalization, reference data, value sets, and clinical concept governance. Owns terminology services, mapping workflows, data quality rules, ontology documentation, and lifecycle management. Partners with engineering, product, clinical, and analytics teams to improve healthcare data fidelity and support real-world data products, pipeline modernization, and knowledge graph initiatives.

Designs and maintains scalable cloud data pipelines, ELT/ETL workflows, data models, and automation systems supporting cloud cost visibility and optimization. Uses Python, SQL, dbt, Airflow, AWS data services, and Snowflake. Optimizes performance, reliability, storage, and compute costs while ensuring data quality, validation, and auditability. Partners with Engineering and Finance stakeholders on usage-based insights and cost optimization initiatives.

Support and mature the firm's enterprise data governance program across Microsoft 365 and SaaS platforms. Responsibilities include administering retention, classification, DLP, eDiscovery, legal hold, information protection, access reviews, data lifecycle processes, audits, investigations, and compliance activities. The role troubleshoots permissions, search, migration, and integration issues, identifies automation opportunities, and coordinates between technical teams and business stakeholders.

Leads market and competitive intelligence across global markets, synthesizing consumer, channel, pricing, and competitor data into actionable recommendations. Builds presentations, dashboards, and visualizations for business leaders; partners with category, brand, commercial, and regional teams; manages research and analytics suppliers; oversees multiple workstreams; and strengthens market intelligence processes and capabilities.

Build, deploy, and maintain scalable data pipelines and platforms for mission-driven projects. Validate and normalize datasets, develop schemas, implement ETL workflows, and create monitoring dashboards and metrics. Collaborate with AI/ML engineers, cloud architects, and technical leaders to support governed, high-quality data flows and reliable model performance. Improve pipeline performance and support data engineering for operational, research, and enterprise systems.

Designs, develops, implements, and optimizes relational and object-oriented databases and supporting parser, loading, query, and scripting software. Defines database structures within system architectures while balancing data volume, performance, distribution, retention, security, and domain controls. Supports requirements development throughout the system lifecycle, database administration, system improvements, and cloud-based data storage and retrieval. Requires extensive Oracle administration experience, MongoDB experience, Linux and Bash skills, and an active TS/SCI clearance with polygraph.

Performs configuration and data management for DOD and commercial systems. Supports configuration control, engineering change proposals, technical documentation, audits, configuration control boards, contract technical packages, and procedural compliance. Maintains data applications, configuration management plans, technical specifications, and organizational standards while coordinating hardware and software configuration changes.

Senior Addepar data engineer/analyst responsible for supporting and scaling Addepar integrations, building and maintaining data pipelines (Addepar↔Snowflake/Canoe/other platforms), diagnosing and resolving data quality issues, developing SQL-based reconciliations and automation, partnering with business and technology stakeholders, and supporting production operations, governance, testing, and documentation for wealth and asset management data.