Top Senior Data & Analytics Jobs in Baltimore, MD

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

The Senior Data Conversion Lead will transform complex legacy data for retirement benefits, ensuring client data integrations and championing process innovations.

The Senior Data/Analytics Engineer will design and implement operational data pipelines, ensuring data quality and lineage for decision-making in government operations.

Responsible for data governance, quality, and oversight of data assets, ensuring compliance and improving accessibility for insights across the organization.

The Sr. EDI Analyst will analyze and test Healthcare EDI applications, create EDI X12 files, and manage business requirements. They will also need strong problem-solving skills and experience with SQL databases.

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.

The Senior Business Analyst will gather requirements, perform data analysis, conduct data validation testing, and support data migration projects.

The Manager, Credit Analytics is responsible for designing and implementing credit risk strategies, extracting data, conducting analysis, and communicating insights to drive profitable lending solutions.

The Senior Pricing Analyst will develop innovative fee arrangements, drive awareness of pricing impact, manage complex matters and RFPs, and support revenue analysis and pricing decisions within a law firm context.

Perform code migration from CDSW to Databricks, build analytics pipelines, and develop interactive Tableau/Qlik/Power BI dashboards. Clean and analyze maintenance and supply data, apply statistical and machine learning models, and deliver data-driven insights to PMA and AA&I stakeholders while supporting data architecture and automation.