Top Remote Data & Analytics Jobs in Baltimore, MD

As a Senior Data Engineer, you will design and maintain scalable data pipelines, focusing on architecture, ingestion, storage, and analytics on GCP. You'll collaborate with stakeholders and optimize data structures for performance while ensuring adherence to data governance and compliance standards.

The Director of Business Operations oversees marketplace performance analysis, developing metrics and insights, and collaborating across teams to enhance strategy and decision-making.

The Staff Risk Analytics role involves overseeing fraud risk management, developing strategies, leading cross-functional initiatives, and providing real-time analytics in fintech.

The Product Analyst at Pearl will conduct analyses, uncover insights, and provide actionable recommendations to inform product strategy and decision-making. This role involves collaboration with cross-functional teams and utilizing various analytics tools to drive business improvement.

Manage people analytics, conducting data analysis to inform HR strategies, offer recommendations for improvement, and create reporting dashboards. Collaborate with HR and business leaders to align people data with business needs.

The Senior Data Analytics Engineer will develop data pipelines, support data-driven decision-making, collaborate with stakeholders, and improve data quality and processes.

The Sr. Underwriting Ops Associate ensures operational integrity in underwriting processes by validating data, approving quotes, monitoring performance, and partnering across teams to resolve issues.

The Senior BI Analyst will gather requirements, develop scalable reporting solutions, and create dashboards using Power BI, ensuring data-driven decisions across the organization.

This role involves analyzing home renovation cost data and homeowner priorities, focusing on spending trends, emotional satisfaction, and resale value considerations based on surveys.

Design and scale data infrastructure, ensure data quality and governance, collaborate with teams on data products, and modernize practices.