Summary
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.
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
Responsibilities
- 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
Preferred Qualifications
- 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
