Top Senior Data & Analytics Jobs

The Principal Product Analyst will lead analytics for product teams, building frameworks, dashboards, and fostering a data-driven culture for decision-making.

Responsible for maintaining and enhancing the Apptio platform, developing reports, managing data integration, and supporting financial planning processes.

Manage the analytics team, develop data-driven strategies, oversee projects, ensure data quality, and provide insights for business decisions.

The VP will lead privacy strategy in alignment with business goals, manage privacy risks, and ensure compliance with regulations through collaboration and robust oversight.

As a Quantitative Analytics Associate Senior, you will support data-driven decisions in collections and recovery, leveraging analytics and machine learning to optimize financial outcomes. Responsibilities include data analysis, trend monitoring, and collaboration across functions to enhance collection strategies.

As a Senior Data Engineer at Hinge, you'll develop essential data processes, build and maintain data pipelines, and support data-driven decision-making within the Trust and Safety team.

As a Marketing Analytics Manager, you'll design AI-assisted Tableau dashboards, model marketing data, and collaborate with teams to derive insights and performance metrics.

As a Senior Product Analyst, you will analyze student data to drive product decisions, support cross-functional teams, and manage data infrastructure, emphasizing quantitative methods and tools.

Lead the development of data models at Anduril Industries, focusing on building ontologies and collaborating with stakeholders to enhance decision-making through data-driven solutions.

Lead the development of analytics dashboards and applications to enhance decision-making and operational processes in defense technology.

This role focuses on enhancing user experience through network and telephony observability, utilizing analytics and AI for performance improvement and proactive insights.

Lead Aladdin client projects in data integration and conversion, collaborating with clients and stakeholders to deliver solutions on-time and on-budget.