Top Senior Analysis Reporting Jobs in Baltimore, MD

Build and maintain production data ingestion, transformation, and pipeline systems for a governed federal data and AI platform. Develop data products, contribute to Terraform infrastructure and CI/CD, monitor quality and reliability, troubleshoot issues, and apply governance and access controls. Support data science and ML teams while operating within FedRAMP, NIST 800-171, and CUI requirements. Collaborate with engineers and document pipelines and processes.

Develop and maintain enterprise data engineering and business intelligence solutions. Build and optimize SQL queries, datasets, dashboards, reports, ETL/ELT processes, and data integrations using Python and BI platforms. Analyze and validate complex data, resolve quality and performance issues, support data modeling, and translate stakeholder requirements into technical solutions. Collaborate across technical and business teams using Agile practices, Jira, and GitHub while documenting and improving scalable reporting systems.

Leads technical Monitoring, Evaluation, Accountability and Learning for a complex, multi-country child protection and family care project. Oversees data collection, management, quality assurance, milestone verification, reporting, evaluations, learning, and knowledge management. Provides technical assistance to country teams, partners, and government institutions; strengthens national information systems; ensures donor compliance; analyzes evidence; and supports adaptive management and dissemination of results across countries.

Build and operate scalable AWS data platforms, batch and near-real-time pipelines, ETL/ELT workflows, and governed data lake or lakehouse architecture. Lead data integration for organizational acquisitions, improve data quality and observability, and support Power BI reporting through curated datasets and semantic models. Partner with technical and business stakeholders across editorial, subscriptions, advertising, finance, marketing, and operations to deliver reliable analytics and reporting foundations.

Lead the redesign and modernization of a legacy database system for a financial services client. Analyze existing architecture, design scalable data models and schemas, optimize tables and stored procedures, implement governance and security controls, and ensure performance, auditability, and regulatory compliance. Partner with stakeholders in an Agile environment, support iterative development, and mentor team members on database modeling best practices.

Develops, troubleshoots, and supports enterprise Oracle database applications using advanced SQL and PL/SQL. Responsibilities include debugging production issues, optimizing database code, maintaining data feeds and integrations across NiFi, AWS, APIs, and files, performing data validation and reconciliation, supporting deployments and incidents, tuning performance, and collaborating with DBAs and infrastructure teams on RAC, recovery, Data Guard, security, and operational reliability.

Designs enterprise database strategies and operational, programming, and security standards. Builds large relational databases, integrates new systems with existing data warehouse structures, and improves database performance and functionality. Requires a technical bachelor’s degree, 4–9 years of database administration experience, DoD IAT Level II certification, and an active TS/SCI clearance with polygraph.

Leads enterprise HR analytics and business intelligence strategy, including dashboards, reporting, data governance, data quality, automation, and actionable insights. Manages analytics priorities, projects, stakeholders, and deliverables while partnering with HR, IT, and business leaders. Oversees reporting standards, compliance reporting, data integrity, and analytics solutions. Mentors analytics staff and trains end users on data literacy, reporting tools, visualization, and consistent analytics practices.

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.