WHAT WE DO

Vertice was launched in 2022 to build a new way to manage SaaS and cloud spend. One that’s fair, totally transparent, and designed for modern businesses. Today, Vertice has processed over $10 billion in spend and serves hundreds of customers across more than 30 countries. We are headquartered in London with offices in New York, Brno, Sydney, Johannesburg and Singapore.
And we’re just getting started. Founded by successful serial entrepreneurs Roy Tuvey and Eldar Tuvey, Vertice has been on an incredible growth trajectory, with a remarkable 13X revenue growth in two years which has resulted in us being named as 2025’s fastest-growing startup by FTs Sifted. Following our Series C investment round, we have secured over $100 million in funding from leading investors including Bessemer Venture Partners, 83 North and Lakestar, and are expanding our reach across regions and product lines.
Are you ambitious? Do you want to make an impact and be part of a highly talented and driven team? Come and join us on this journey to build a new way to manage technology spend and simplify procurement.

YOUR ROLE AT VERTICE

You’ll provide quantitative and analytical support through dynamic dashboards to key stakeholders across multiple teams at Vertice. You’ll serve as an analytics expert for your partners, helping them make better decisions with numbers and insight. You’ll also have other data focused responsibilities using our internal tooling to build automations that drive efficiencies and improvements across the business. You’ll be based from our London office, reporting to the Head of Insights (based in London). You’ll have the opportunity to improve your technical skills by using Python and SQL, as well as using LLMs in your day-to-day work.

THINGS YOU’LL HAVE DONE BEFORE

• You will have 5+ years of experience in a challenging data analysis or data science role, ideally within a fast-paced environment such as technology, consulting, or financial services.
• You will possess strong experience in extracting, manipulating, and analyzing large structured and unstructured datasets using tools like SQL and Python, with a proven ability to generate impactful insights and deliver process improvements.
• You will have a bachelor’s degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field, or equivalent practice experience.
• You will be comfortable presenting complex analytical findings and recommendations to both internal and external stakeholders, including senior leadership.
• You will have demonstrable success working cross-functionally, adapting quickly to new challenges, and managing multiple responsibilities effectively.