Top Senior Level Data & Analytics Jobs in Baltimore, MD

Manage data and analytics projects, align client data strategies, facilitate cloud data migration, and coach team members while ensuring business objectives are met.

The Data & Insights Partner transforms data into actionable insights, collaborating with teams to drive customer success and build a data-driven culture. Responsibilities include reporting strategy, insight delivery, cross-functional collaboration, training, customer engagement, and maintaining data integrity.

Zeta Global seeks a Senior Manager, Data Cloud Consulting to provide strategic guidance on paid media and CRM to clients, develop marketing strategies, and manage analytics roadmaps. The ideal candidate will have extensive experience in data-driven strategy consulting and marketing.

The Staff Machine Learning Engineer will lead technical strategy, collaborate on product development, ensure operational excellence, and foster team quality and ownership.

The Senior CX Analytics Engineer at Coinbase will improve customer compliance operations with analytical tools, collaborate on business needs, and drive meaningful insights for strategy and customer experience enhancement.

As a Staff Data Engineer, lead the technical roadmap for data infrastructure, manage complex data architectures, and mentor engineers while driving the organization's data platform innovations.

The Senior Billing Data Analyst will analyze billing data, build dashboards, investigate issues, and provide insights to improve billing operations and customer experience.

As Senior Manager Market Research & Intelligence, lead market intelligence efforts, execute primary research, conduct competitive analysis, and synthesize insights to inform strategy, drive revenue, and improve sales effectiveness.

This role involves forecasting self-serve ARR, partnering with cross-functional teams, performing strategic analyses, and tracking key performance indicators to align initiatives with company goals.

This role involves analyzing customer data to provide insights that enhance customer retention and satisfaction, building reports and dashboards, and influencing customer success strategies.