Top Remote Data & Analytics Jobs in Baltimore, MD

Lead the design and implementation of innovative data models for finance and actuarial use cases, mentoring team members and fostering client interactions.

Support merchant onboarding, fraud detection, and risk analysis through data analysis and modeling. Collaborate cross-functionally to develop scalable monitoring frameworks.

The Analytics Manager for Credit Risk will lead credit strategy, enhance underwriting with machine learning, and manage cross-functional partnerships, focusing on data analytics and risk knowledge.

The role involves assessing fraud program effectiveness, compliance with regulations, and providing strategic insights for risk management within the financial services industry.

The Senior GTM Finance Analyst will support topline forecasting and reporting, analyze GTM strategy impacts, and maintain financial models for self-serve ARR.

Lead and manage a team of data engineers, oversee data warehouses and pipelines, ensure scalable data architecture, and foster partnerships with data analysts and scientists.

Manage analytical service operations by overseeing a team, designing software for data mining, developing statistical models, and generating insights for marketing outcomes. Provide training and mentorship to direct reports.

The Sr. Incentives & Strategy Analyst will optimize and evaluate incentive programs, derive insights from data, and collaborate with cross-functional teams to support revenue strategies.

The Data Analyst will develop insights and dashboards on customer behavior, collaborating with cross-functional teams to enhance product usage analytics and drive strategic improvements.

The Senior Marketing Data Analyst will develop reporting frameworks, analyze data to support Product Led Growth, and create dashboards for stakeholders.

Lead development of analytics platforms at GameChanger, enhance BI tools, define metrics, and contribute to data modeling for insights.

The Financial Systems Analyst manages NetSuite, optimizes business system performance, supports users, ensures data integrity, and collaborates on process improvements.