Top Data & Analytics Jobs in Baltimore, MD

Leads and supports database design, development, administration, optimization, and maintenance. Develops database schemas, parser and loading software, queries, scripts, and macros while aligning structures with system architecture. Directs requirements fulfillment, data organization, storage and retrieval, and complex database systems using cloud methodologies. Requires extensive Oracle platform experience, Linux and Bash skills, a current poly clearance, and substantial database engineering experience.

Conduct research, analyze complex business data, develop reports, document processes, present findings, and recommend improvements for customer projects. The role gathers stakeholder and survey information, evaluates business processes, anticipates requirements, and supports new solutions. It requires strong analytical, documentation, communication, organizational, presentation, and troubleshooting skills, along with Microsoft Office and SharePoint proficiency.

Design, build, and optimize scalable AWS and Snowflake data pipelines, databases, data models, and cloud-based solutions. Implement ETL/ELT workflows, data quality and monitoring frameworks, CI/CD pipelines, automated recovery, documentation, and performance improvements. Collaborate with stakeholders and cross-functional teams in an Agile environment while conducting advanced analysis using Python and SQL.

A one-year data engineering development program involving training, mentoring, and hands-on work designing, developing, testing, and delivering data assets and applications. Participants refine features, plan user stories, build data pipelines, apply SQL and data fundamentals, use AI and analytical tools, and collaborate with business and engineering teams. Occasional travel for business meetings and events is expected.

Build scalable analytical products, data models, automation, and measurement solutions for the Individual Investors business. Apply advanced statistics, forecasting, machine learning, experimentation, optimization, and simulation to complex business problems. Use SQL, Python, cloud data warehouse practices, version control, testing, and documentation to create reliable, reusable capabilities. Partner with technical and business stakeholders, communicate insights, and improve analytical solutions through Agile delivery and engineering discipline.

Owns the design, development, optimization, and lifecycle management of Tableau dashboards, data products, and procurement reporting solutions. Analyzes spend, sourcing, supplier, contract, and accounts payable data; translates findings into recommendations; supports Tableau Server governance; and enables self-service analytics. Partners with procurement and cross-functional stakeholders, presents insights to senior leaders, and evaluates AI-enabled opportunities to improve business outcomes.

Leads data analytics and operational improvement across a college’s administrative functions. Develops dashboards and executive reporting, standardizes workflows, evaluates process inefficiencies, translates business requirements into technical specifications, and partners with development teams on workflow systems. Manages improvement projects, change management, training, documentation, stakeholder reporting, and continuous system refinement across areas including procurement, inventory, HR, budgeting, and facilities.