Senior Data Analyst (AI)

Location: London, UK; hybrid, with 3 days per week in the office

Company

hirify.global is building a full-stack AI cloud spanning data centers, hardware, and a cloud platform for AI teams.

What you will do

• Analyze large datasets to assess business, product, and operational performance across multiple product lines.
• Develop deep knowledge of business operations, with a focus on R&D and revenue strategies.
• Present complex analysis and recommendations to business leaders and support strategic decision-making.
• Build and maintain centralized dashboards and tools for data extraction and business management.
• Collaborate with data engineering and GTM systems teams to integrate data sources and maintain reliable, unified reporting.
• Establish analytics standards covering documentation, data-quality checks, review practices, prioritization, business reviews, goal setting, and deep dives.

Requirements

• 5+ years of experience in analytics and data analysis, including ownership of company-level metrics or KPI systems.
• Strong qualitative and quantitative analysis skills, including content analysis, hypothesis testing, cluster analysis, and statistical techniques.
• Fluency with BI tools such as Looker, Metabase, Tableau, or equivalent, and the ability to create decision-ready narratives.
• Working Python skills for analysis and automation, including notebooks, scripts, and version control.
• Business understanding across cloud products, finance, sales, and marketing.
• Excellent communication skills for presenting technical content to non-technical audiences.
• Ability to initiate and complete analytical projects independently, with strong curiosity, attention to detail, and an analytical mindset.

Nice to have

• Experience with usage-based pricing businesses, including utilization, capacity, and margin analysis.
• Hands-on experience with dbt or a semantic layer / metrics store.
• Experience building AI-assisted analytics workflows from 0 to 1.
• People-leadership ambitions.

Culture & Benefits

• Full-time, permanent employment.
• Hybrid work from the London office, 3 days per week.
• Cash and equity compensation with local benefits.
• Work with global teams across 40+ nationalities and collaborate with engineers, researchers, and partners in the AI ecosystem.

Hiring process

• Apply through the Careers page; applications sent by email are not accepted.
• Applications are reviewed as candidates are identified, with no artificial deadline.