Top Senior Level Analytics Jobs

The Data Analytics Applications Engineer will work on Data Management and Data Pipeline projects, utilizing tools like Pig and Py-Spark, with a preference for those familiar with NiFi and Pressurewave. Candidates are required to have significant experience depending on their educational background.

The Senior Quality Laboratory Analyst leads laboratory analysts in performing testing and ensuring raw materials and finished products meet quality standards. Responsibilities include managing testing schedules, handling non-conformance investigations, implementing corrective actions, and improving quality assurance processes while collaborating with the quality engineering team.

The Deskside Support Analyst provides 2nd level support for Frontline Managed Services, handling complex incidents, providing technical assistance for meetings, documenting issues in ServiceNow, and contributing to team projects, while maintaining customer satisfaction in a legal environment.

As a Senior Desktop Support Analyst, you will provide high-quality support for desktop and mobile devices, assist with hardware diagnostics and repairs, and offer second-level software support. You'll manage hardware procurement, ensure software compatibility, mentor team members, and analyze user feedback for process improvements.

The Senior Analyst, IT Risk and Controls role involves overseeing operational risks, supporting Sarbanes Oxley compliance, managing the GRC tool, collaborating with finance teams, and driving initiatives to mature the internal controls program while leading strategic projects and fulfilling budget management tasks.

The Senior Research Analyst will analyze all-source intelligence focusing on insurgent capabilities, political climates, and report writing for embassy management. Responsibilities include threat monitoring, assessing intelligence credibility, preparing briefings, and managing databases of threats and incidents.

As a Senior Data Analyst, you will analyze and design databases for operational and business intelligence systems, conduct data testing, develop and maintain data warehouses, write scripts for data extraction, and manage data to ensure integrity and alignment with business requirements.