Top Analysis Reporting Jobs in Baltimore, MD

Build and maintain scalable data pipelines for healthcare claims; implement de-identification and PII-reduction; ensure data quality and observability; integrate data stores and APIs; draft technical designs and documentation; gather product feedback and iterate quickly.

Lead design of end-to-end analytics and data solutions, produce architecture diagrams and technical designs, guide delivery teams, run client discovery and requirements sessions, support pre-sales and proposals, build reusable frameworks, and manage and mentor a delivery team to ensure quality and alignment to architecture.

Design, build, and operate secure, compliant data platforms and pipelines across AWS GovCloud and Azure Government. Lead cloud migrations, implement DataOps CI/CD, manage Microsoft Fabric platform, ensure data quality and governance (NIST 800-171/DFARS/ITAR), and provide Tier 3 support for analytics workloads. Collaborate with stakeholders to deliver scalable lakehouse/warehouse architectures, automate infrastructure with IaC, and maintain compliance and incident runbooks.

Senior individual contributor who designs, develops, optimizes, and maintains complex SQL data solutions and Microsoft SQL Server instances. Leads data modeling, performance tuning, schema design, and data quality efforts; partners with engineering, ETL, BI, and product teams; drives standards, architecture, governance, and compliance for scalable, high-performance data platforms.

Design, build, and maintain Power BI and Tableau dashboards; analyze large, complex datasets using SQL, Python, and statistical methods; partner with data engineering and business stakeholders to ensure data quality; translate findings into clear, actionable stories and executive-level presentations; support firmwide analytics growth and automation.

Lead business analysis, requirements definition, system administration, integration development, and reporting for enterprise systems and data initiatives. Partner with stakeholders to design solutions, manage user access, troubleshoot systems, support upgrades and migrations, and develop reporting in Kantata, NetSuite, Salesforce, and Power BI.

Lead a team that manages master and client data operations, driving data quality, process improvements, automation, backlog and project execution, performance metrics, and cross-functional coordination to ensure timely, accurate data delivery and operational scalability.

Lead pricing strategy and analytics: develop pricing, packaging and monetization recommendations; build forward-looking revenue/volume models; maintain pricing algorithms and reporting; collaborate with Sales, Finance, Marketing and Data teams to implement pricing actions and standardize quantitative outputs.

The Senior Manager of Risk Analytics will lead credit risk strategies, manage portfolio performance, optimize decisioning frameworks, and drive business growth through analytics and predictive modeling.

Own end-to-end marketing and business intelligence: build automated dashboards (Domo), query large datasets (SQL/Snowflake), report subscription funnel economics, analyze channel performance and A/B tests, troubleshoot data anomalies, and partner with leadership to set KPIs and prioritize analytics work.