Top Analysis Reporting Jobs in Baltimore, MD

Own university data integrations from source discovery through validated, signed-off feeds. Build SQL queries and scheduled extracts, model data, support partner upgrades and migrations, translate institutional policies into accurate data feeds, and improve monitoring, documentation, and reusable integration patterns. Collaborate with registrars and database administrators while supporting a named set of university partners. The role requires deep experience with student information systems, including PeopleSoft, and occasional travel for partner onsite engagements.

Own the analytical function for a business unit across growth, product, AI and automation, or strategic partnerships. Define business questions, metrics, reports, experiments, and analyses; generate actionable insights; communicate recommendations to leadership; and drive execution through measurable outcomes. The role requires independent problem-solving, strong analytical skills, persuasive communication, and ownership of ambiguous, high-impact initiatives.

Own the analytical function for a business unit spanning growth, product, AI and automation, or strategic partnerships. Define business problems, metrics, reports, analyses, and experiments; generate insights; and drive recommendations through execution. The role requires strong first-principles thinking, independent data work, persuasive communication, stakeholder influence, and ownership of ambiguous, high-impact initiatives.

Designs and maintains scalable data pipelines, warehouse models, and analytics solutions. Builds natural-language data interfaces using GenAI and LLM techniques, optimizes SQL, improves data quality and observability, and supports distributed data platforms on AWS or GCP. Partners with engineering, analytics, business, and product teams, contributes to shared codebases, establishes development standards, and participates in production on-call and incident response.

Manages data management program implementation across business units, including training, working groups, policy compliance, metadata capture, data quality monitoring, risk indicators, and issue remediation. Analyzes large datasets for business insights, promotes business intelligence adoption, coordinates cross-functional stakeholders, and supports regulatory, audit, and internal control requirements.

Maintains Looker and LookML dashboards, explores, and reporting infrastructure; supports ad hoc analysis, forecasting, sales pacing, data quality, UAT, vendor management, board reporting, and planning materials during a temporary maternity-leave backfill.

Develop and maintain SQL-based data views, ETL workflows, and cloud data warehouse processes supporting CMS healthcare research data. Ingest new data sources, optimize database performance, document business logic, support production data loads, and collaborate with analysts, technical leads, and CMS partners. The role also involves data quality, monitoring, permissions, recovery, troubleshooting, and occasional off-hours or weekend production support.

Owns automated dashboards, SQL-based analysis, data pipeline monitoring, exploratory analysis, and executive recommendations. The role tracks marketplace KPIs such as customer lifetime value, acquisition costs, churn, and provider utilization while partnering with engineering and product teams on data requirements. It is fully remote within the United States and requires advanced SQL, dashboard development, and strong analytical communication.

Leads data engineering, business intelligence, and analytics teams; oversees data pipelines, integration infrastructure, database architecture, CI/CD practices, and enterprise data platform strategy. Partners with business and technology stakeholders to define requirements, improve data capabilities, maintain Ubuntu-based services, and deliver reporting and KPIs to leadership. Responsible for team hiring, development, mentoring, operational health, and technical execution across analytics and data integration platforms.

Forecasts contact volume, capacity, and staffing for a virtual healthcare clinic. Monitors real-time queues, adherence, service levels, and intraday risks; combines multiple data sources to create staffing recommendations and reporting. Uses AI and LLM tools to test and improve forecasts, while accounting for clinician licensing constraints. Requires contact center WFM experience, strong Excel skills, analytical communication, and comfort working remotely with required equipment and connectivity.