Top Senior Data & Analytics Jobs in Baltimore, MD

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.

Lead implementation of Data Management Program for an assigned business: develop governance, policies, and standards; act as data steward; measure and remediate data quality and risks; promote BI tools; analyze large datasets to deliver business insights; train stakeholders and ensure regulatory and control compliance.

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.

Lead the maintenance and development of ETL processes for the data warehouse, support analysis and design of new ETL requirements, and recommend enhancements for data cleansing.

Lead Power BI developer for Legal, Compliance, Audit & Risk and Enterprise Risk Management. Own end-to-end reporting, data ingestion (Power Query), data modeling (DAX), dashboard development, automation, data quality, governance, and stakeholder-facing analysis and presentations. Support ad hoc analysis and incorporate AI overlays.

Design, build, operationalize, and maintain enterprise-scale data applications and scalable ETL/ELT pipelines. Develop and troubleshoot Palantir Foundry transformations, ontology objects, and logs. Collaborate with cross-functional teams to convert structured and unstructured data for analytics, monitoring, and platform operations.

Formulate and solve large-scale mathematical optimization and resource-allocation problems (LP, IP, MIP). Build and validate optimization models and decision-support tools, apply heuristics and constraint programming, perform trade-space and sensitivity analyses, and present actionable recommendations to senior leadership in secure government contexts.

Lead end-to-end customer experience analytics: translate business questions, build/validate datasets, perform root-cause and impact analyses, influence stakeholders, and track post-implementation results. Partner cross-functionally, manage multiple projects, and communicate insights to senior leaders.

Architect and implement scalable, secure database and data warehouse solutions using AWS and Snowflake. Configure and optimize EMR clusters, write and optimize complex SQL, automate deployments and ETL, ensure backup/DR and compliance, troubleshoot incidents, integrate with AWS services and BI tools, and mentor junior developers.

Lead the data workstream for complex implementations: collect, validate, transform and upload large datasets into VMS, perform ETL and rate audits, build VMS reports, ensure data quality and governance, communicate status to clients, and mentor junior analysts.