RevOps Sales Operations Analyst - Data-Driven, Global Scope

RevOps Sales Operations Analyst - Data-Driven, Global Scope

Full-Time 54000 - 66000 Β£ / year (est.) Home office (partial)
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At a Glance

  • Tasks: Own systems and data to drive operational improvements in a global team.
  • Company: CUBE, a dynamic company expanding its RevOps function.
  • Benefits: Competitive salary, global collaboration, and opportunities for professional growth.
  • Other info: Join a high-impact, globally distributed team and thrive in a fast-paced environment.
  • Why this job: Make a real impact on our go-to-market engine with a data-driven approach.
  • Qualifications: 3-5 years in Sales/Revenue Ops and strong Salesforce skills required.

The predicted salary is between 54000 - 66000 Β£ per year.

CUBE is expanding its global Rev Ops function and seeks an experienced Sales Operations Analyst to own systems, data, and processes behind our GTM engine.

You will partner with teams in London and New York, driving operational improvements and tool optimization.

The role requires 3–5 years in Sales/Revenue Ops in a B2B Saa S setting, strong Salesforce, and a proactive, data-driven mindset.

This is a high-impact, globally distributed team role.

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RevOps Sales Operations Analyst - Data-Driven, Global Scope employer: Cube Asia

CUBE is an exceptional employer that fosters a dynamic and innovative work culture, perfect for those looking to make a significant impact in the RegTech space. With a strong focus on employee growth, we offer ample opportunities for professional development and collaboration with industry leaders, all while being part of a global team dedicated to shaping the future of technology partnerships. Located in a vibrant tech hub, our employees enjoy a stimulating environment that encourages creativity and strategic thinking.

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Contact Details:

Cube Asia Recruitment Team

We think you need these skills to ace RevOps Sales Operations Analyst - Data-Driven, Global Scope

Sales Operations
Revenue Operations
B2B SaaS Experience
Salesforce
Data-Driven Mindset
Operational Improvements
Tool Optimization