Top Remote Data & Analytics Jobs in Baltimore, MD

The Data Processing Specialist processes and reviews laboratory orders, ensuring accuracy and compliance while working independently and collaboratively in a remote setting.

The Growth Analyst supports capture efforts by producing decision-support artifacts from source documents, using Excel and AI tools for effective organization and analysis of information.

The BI Analyst develops dashboards, analyzes data, and identifies process improvements to aid in strategic and tactical initiatives for Product Operations.

The Customer Insights Analyst will collect quantitative and qualitative research to support strategy and provide data-driven insights for customer growth and retention.

Lead the transformation of insurance operations into scalable solutions on the Majesco platform, ensuring alignment with product architecture. Guide clients through the implementation of insurance strategies across policy administration, billing, claims, and digital experiences.

As a Senior Data Engineer, you'll design and maintain cloud-native data infrastructure, develop data pipelines, and ensure high-quality data solutions while mentoring teammates and influencing strategy across the data ecosystem.

As an Associate Director, you'll lead the design and implementation of integrations using iPaaS tools, manage teams, and help clients optimize ERP transformations.

The Clinical Research Lead oversees the execution of clinical trials by engaging investigators, managing sites, and optimizing enrollment strategies in the Oncology field.

The Sr Data Analyst at BECU will analyze marketing campaign performance using SQL and develop insights through visualizations, collaborating with Marketing leadership to enhance engagement and reporting.

Design, build, and maintain production data pipelines and tooling (CI/CD, testing, validation) using Snowflake, dbt, and orchestration tools. Model, transform, document, and optimize data to produce reliable curated datasets for analytics and solutions, enforce engineering best practices, and mentor teammates while ensuring scalability, observability, and data integrity.