Operations Specialist - Remote

Overview

Join our expanding MX team as an Operations Specialist, where you'll be instrumental in spearheading project execution and ensuring we meet our service level agreements (SLAs). Collaborating with a team of talented individuals, you'll lead the way in operational excellence, drive efficiency, and play a pivotal role in our team's and company's success.

In Short

• Build and drive some of our most critical operational processes.
• Collaborate with stakeholders to improve processes for new and existing customers.
• Apply analytics to identify areas for process improvement and optimization.
• Collaborate closely with the GenAI MX Country Lead and cross-functional teams to achieve service level agreements (SLAs).
• Manage tasks and projects effectively, meeting deadlines and quality standards.
• Uncover and overcome pipeline blockers, ensuring smooth and efficient operations.
• Keep stakeholders updated on progress.
• Maintain advanced English communication skills for internal and external correspondence.
• Embark on a journey of personal and professional development, learning from the brightest minds in the field.

Requirements

• Advanced English language skills, both written and verbal.
• Proficiency in Google Workspace (Docs, Sheets, Slides).
• At least three months of industry experience in an operational role and/or a top-tier consulting firm.
• An action-oriented mindset, balancing creative problem-solving with scrappiness to deliver results.
• Driven to adapt, demonstrate versatility, and succeed in a dynamic, high-tempo setting.
• Ability to work independently and collaboratively within a remote setting.

Benefits

• Experience with SQL and/or another database language.
• Strong analytical, planning, and process improvement capabilities.
• Strong organizational skills and demonstrated ability to track multiple test executions simultaneously and synthesize results.
• An undergraduate degree with a substantial analytics component, such as Engineering, Economics, or Business. Alternatively, a strong interest in Computer Science, Statistics, or Data Analytics.