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The role involves designing, developing, and optimizing database solutions for large-scale applications while being part of an Agile team. Responsibilities include participating in the software development lifecycle, improving system performance, and troubleshooting issues with Oracle databases.

The Primary Market Research Analyst will support ISS Market Intelligence by working on project teams to conduct surveys, analyze research results, and develop deliverables. Responsibilities include programming surveys with Qualtrics, managing data quality, and visualizing findings using statistical tools.

The ESG Data Operations Manager will oversee a team of analysts to manage data profiling and ensure quality assurance. Key responsibilities include recruitment, workflow management, developing procedures, and collaborating with cross-functional teams on product support and enhancements.

The Linux Administrator will manage and monitor a large number of Red Hat Linux systems, overseeing installations, upgrades, and migrations. Responsibilities include designing container platforms, ensuring security, and implementing DR/BCP solutions while providing support to internal customers and conducting performance analyses.

The Junior Data Analyst will assist the Global Data Operations team by collecting, verifying, and analyzing data related to companies under their assigned market. They will address internal and client queries, ensure data quality, participate in projects, and maintain documentation in compliance with company policies.

As a Full Stack Developer at ISS STOXX, you will design, implement, and maintain software applications, working on both front-end and back-end components. Responsibilities include developing software solutions with Java, managing SQL databases, and creating user-friendly front-end interfaces using Angular, while collaborating with cross-functional teams and participating in testing and code reviews.

The Techno Functional Quality Assurance Lead will develop and support a Quality Assurance framework for market data pipeline, define data quality rules, perform database testing, and manage data QA projects. Responsibilities also include coaching team members and promoting operational excellence and collaboration.