Top Data & Analytics Jobs in Baltimore, MD

Belay Technologies is looking for a Senior Data Analyst with significant experience in database engineering and government contracts. Candidates must have a TS/SCI clearance and a bachelor's degree or equivalent experience. Responsibilities involve handling complex data analysis within federal programs.

Lead portfolio risk analysis for public and private markets, applying risk analytics, preparing reports, and identifying emerging risks.

Design, implement, and maintain scalable data pipelines and platforms for structured and unstructured data to support AI/ML workloads. Ensure data governance, security, monitoring, and CI/CD for ETL workflows across on‑prem, cloud, or hybrid environments while collaborating with cross‑functional technical teams.

Define and improve data quality processes, analyze data issues, collaborate with stakeholders to document requirements, monitor data quality metrics, and support remediation efforts to ensure accurate, reliable data.

Designs, builds, and operationalizes complex Databricks/AWS data solutions and pipelines. Performs data analysis, cleansing, testing, and incident resolution while incorporating governance, security, and quality. Collaborates across teams, supports end users, and provides technical leadership to deliver production-ready data products for analytics, ML, and AI use cases.

Lead portfolio analytics for Amazon Credit & Payments: define problems, source and analyze data, build dashboards, measure and optimize lifecycle and campaign performance, partner cross-functionally, and coach analytics teams to drive growth, profitability, and improved customer experience.

Design, build, and maintain scalable cloud and on-prem data architectures and ELT/ETL pipelines. Ensure data quality, lineage, and security; prepare data for AI/ML and analytics. Collaborate with analysts, AI engineers, and software teams, automate ingestion and transformation, and optimize performance and cost.

Design, implement, and administer operational data flows: ingest, clean, enrich, transform, secure, and move mission-critical data. Perform exploratory data analysis, troubleshooting, and collaborate with customers to ensure compliant, reliable data pipelines.

Support Tools and Infrastructure with the Data Analytics team by creating and maintaining Splunk dashboards, writing SPL queries, performing data analysis and processing, and producing polished customer deliverables. Work with customers to define requirements and iterate on feedback; operate in Linux Red Hat environments.

The Data Analyst will provide data analysis and business intelligence services, integrating data across various technologies and communicating with stakeholders to develop insights and solutions.