Top Senior Level Analytics Jobs

The Workday Lead Analyst will design, develop, and maintain Workday integrations and reports, support HR and Finance functions, and ensure the smooth operation of Workday systems. Responsibilities include system maintenance, report development, user training, and participation in project management.

The Cyber Intelligence Analyst is responsible for researching and analyzing cyberspace events and threats, providing intelligence reports, conducting training for analysts, and managing exercises to improve force readiness.

The Cyber Reinsurance - Analytics/Portfolio Lead will manage and analyze the cyber reinsurance portfolio, enhance underwriting practices using analytics, monitor portfolio performance, and communicate with underwriters, actuaries, and executives.

The ESG Analyst at Capital Group will lead research and integration of ESG insights in the energy sector, focusing on Oil & Gas. Responsibilities include monitoring ESG trends, engaging with companies, and collaborating with investment analysts to assess and integrate ESG factors into investment strategies. The role requires strong analytical skills and a deep understanding of energy transition impacts.

As a Senior Software Engineer/Data Scientist in the Autonomy Integration Team, you will analyze autonomous vehicle performance using statistical and machine learning methods, develop insights from large datasets, mentor team members, and establish best practices for data utilization while collaborating with various teams.

The Senior HR Workday Analyst manages and optimizes the Workday HR system, ensures data integrity, performs data analysis and reporting, and provides user support. This role involves training, project management, system testing, troubleshooting, and collaborating with various departments to drive strategic HR initiatives and maintain compliance with regulations.

As a Manager of Data Analytics, you'll lead a team of data analysts, develop analytics frameworks, present findings to stakeholders, and collaborate with various teams to guide data-driven decisions. Responsibilities include mentoring staff, ensuring data privacy compliance, and staying updated with industry developments.