Senior Business Insights Manager
NebiusLondon, United KingdomPosted 12 March 2026
Job Description
Why work at Nebius Nebius is leading a new era in cloud computing to serve the global AI economy. We create the tools and resources our customers need to solve real-world challenges and transform industries, without massive infrastructure costs or the need to build large in-house AI/ML teams. Our employees work at the cutting edge of AI cloud infrastructure alongside some of the most experienced and innovative leaders and engineers in the field.
Where we work Headquartered in Amsterdam and listed on Nasdaq, Nebius has a global footprint with RD hubs across Europe, North America, and Israel. The team of over 800 employees includes more than 400 highly skilled engineers with deep expertise across hardware and software engineering, as well as an in-house AI RD team.
The role
We are seeking a highly analytical Senior Business Insights Manager to shape and support high-impact, cross-functional projects across our go-to-market organisation.
This role is ideal for a candidate with a data science or analytics background, combined with experience in top-tier management consulting firm or equivalent strategic analytics experience, who excels at structuring ambiguous problems, leading rigorous analysis, and delivering data-driven recommendations.
As part of the Strategic Initiatives team, you will provide analytical leadership for complex GTM programs, partnering closely with program leads and senior stakeholders to shape decision frameworks, evaluate trade-offs, and ensure initiatives deliver measurable impact.
You are welcome to remote from London .
Your responsibilities will include:
Provide analytical leadership for high-impact, cross-functional GTM initiatives — from problem framing through execution and post-launch evaluation.
Partner with initiative owners to structure ambiguous strategic questions into clear analytical workstreams and decision points.
Support analytics for GPU capacity management, including demand analysis, utilisation drivers, scenario evaluation, and insights to inform cross-functional decisions related to capacity planning and allocation.
Lead deep-dive analyses to support initiatives such as customer tiering and segmentation, GTM motion design and pilots, GTM process redesign, expansion and adoption efforts across the customer journey, and other GTM initiatives.
Develop business cases, scenario analyses, and trade-off assessments to inform key initiative decisions.
Define initiative-specific success criteria and evaluation approaches in partnership with cross-functional stakeholders.
Translate complex quantitative and qualitative insights into clear, actionable recommendations for senior leadership.
Serve as a thought partner to leaders, helping unlock decisions, align stakeholders, and ensure initiatives land successfully.
We expect you to have:
7+ years of relevant experience in data science, analytics, or quantitative strategy roles, ideally with exposure to top-tier management consulting or equivalent experience supporting complex, cross-functional initiatives.
Exceptional data analysis skills, with the ability to work across multiple data sources and tools to answer complex business questions.
Proven ability to structure analysis from a refined problem statement, translating ambiguous questions into clear hypotheses, analytical plans, and decision frameworks.
Strong capability to draw clear, defensible conclusions from data, including identifying key drivers, trade-offs, and implications.
Demonstrated experience translating analysis into insights that resonate with senior stakeholders, including clear narratives, recommendations, and next steps.
Comfort working in ambiguous, fast-paced environments where problem definitions evolve.
Strong communication and influencing skills, with the ability to synthesise complex quantitative findings into concise, executive-ready messaging.
Ability to manage multiple high-visibility initiatives while maintaining analytical rigour and attent ... (truncated, view full listing at source)
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