Top Senior Analysis Reporting Jobs in Baltimore, MD

Design, build, and operationalize complex data pipelines and products to support analytics and AI/ML. Analyze and transform source data, enforce data governance/security/quality, resolve high-complexity incidents, mentor team members, and partner with business stakeholders to deliver reusable, scalable data platform capabilities.

Design, develop, and maintain Power BI dashboards and data aggregations. Automate workflows with Power Automate and SharePoint. Collaborate with stakeholders to define requirements, track project milestones for government programs, and produce technical documentation and ad-hoc analyses to support decision-making.

The Senior Solutions Architect will lead the design and optimization of scalable data platforms, focusing on cloud-based environments, big data technologies, and data visualization for federal data analytics initiatives.

Responsible for designing, developing, deploying, and supporting the BI framework using Microstrategy and Business Objects, addressing the needs of internal clients.

The Senior Data Analyst will analyze complex datasets, develop dashboards, perform customer experience analytics, and leverage statistical modeling to enhance operational performance and service delivery within ITSM environments.

The PostgreSQL Database Developer will migrate Oracle databases to Postgres, maintain database environments, ensure performance, and create technical documentation.

Design, build, and optimize cloud-native batch and streaming data pipelines using Python and PySpark; lead SQL Server to PostgreSQL migrations; implement Terraform-managed AWS infrastructure; perform performance and cost optimization; develop data quality and monitoring frameworks; apply software engineering best practices and provide production support via an on-call rotation.

Administers Informix, MySQL, and other databases across cloud and hybrid environments. Responsibilities include configuration, maintenance, performance tuning, security remediation, replication, monitoring, Tier 3 support, schema changes, migrations, SQL data extraction, backup recovery testing, automation, compliance, and collaboration with engineering, architecture, security, and application teams.

Lead finance-focused data and analytics initiatives: build scalable data models and Power BI dashboards, develop a Finance AI roadmap, analyze margin/utilization drivers, support profitability and pricing strategies, and deliver executive-ready insights partnering with FP&A, Operations, IT and senior leadership.

Manage and troubleshoot NiFi dataflows and clusters, support Elastic cluster deployment and Kibana dashboards, perform system integration, upgrades, and light Python scripting for large-volume data ingestion and analytics.