Top Senior Data & Analytics Jobs in Baltimore, MD

The Senior Engineer, Data will architect and deploy data pipelines, optimize databases, collaborate with teams, and maintain data integrity. They will also enhance data architecture and improve processes using various technologies.

The Solutions Architect will lead the creation of AI-driven tools and data models, partnering with teams to transform complex datasets into actionable insights and developing robust dashboards and frameworks to empower business solutions.

The Solutions Consultant will conduct product demos, assist in sales cycles, and provide evidence of product value while maintaining product knowledge and client relations.

The Senior Data Analyst will conduct quantitative analysis, optimize products through data insights, and lead A/B testing in collaboration with various stakeholders.

The Senior Claims System Analyst will lead technical projects related to claims processing, ensuring system integration and compliance while optimizing vendor relationships and documentation.

The Director of Data will lead the data organization, drive data strategy, oversee the data platform, and ensure high-quality data products across OneImaging, contributing to decision-making in operations and product development.

As a Senior Workforce Intelligence Manager, you'll drive insights in HR, build analytics tools, collaborate with stakeholders, and support data-driven decisions.

As a Data Analyst, Growth at Kraken, you will analyze complex marketing data to provide actionable insights that enhance client acquisition, retention, and decision-making through data engineering, reporting, and experimentation.

As a Senior Data Engineer, you'll design and build data pipelines, automate processes, and collaborate with business teams to support analytical needs, ensuring data quality and optimization for ML workloads.

The Senior Data Analyst is responsible for executing data strategy, analyzing data, documenting requirements, and collaborating with stakeholders to provide insights and validate data quality within the enterprise data platform.