AI Analytics Specialist (Data Science)

TL;DR

AI Analytics Specialist (Data Science): Driving organizational data transformation by integrating AI-powered interfaces and agentic workflows into marketing analytics with an accent on semantic layer design and self-service enablement. Focus on automating complex analytical workflows, improving data literacy, and bridging the gap between technical data infrastructure and non-technical marketing stakeholders.

Location: Hybrid role based in London, United Kingdom

Company

hirify.global is the world’s largest online travel site, leveraging data-driven insights to revolutionize travel experiences for millions of users globally.

What you will do

• Diagnose and resolve friction in marketing data workflows across performance, CRM, and personalization.
• Deploy AI-powered interfaces including natural language querying and automated insight summaries.
• Own the vision for the semantic layer to ensure metrics are consistent, reliable, and trustworthy.
• Identify and implement agentic analytics systems to monitor performance and trigger proactive insights.
• Automate recurring analytical workflows using prompt engineering and workflow design.
• Develop tools and frameworks to improve data literacy across the marketing organization.

Requirements

• 2-4 years of experience in analytics or data science, preferably in travel, ecommerce, or marketplaces.
• Strong proficiency in SQL and hands-on experience with modern BI tools like Looker, Tableau, Hex, or dbt.
• Proven track record of driving the adoption of new analytical tools and workflows across teams.
• Active experience with AI tools, including prompt engineering and LLM-powered workflows.
• Ability to communicate analytical complexity to both technical and non-technical stakeholders.
• Bachelor’s degree in a quantitative field (Analytics, Statistics, Data Science, CS).

Nice to have

• Exposure to agentic analytics concepts and semantic layer tooling like Cube or LookML.
• Understanding of marketing analytics including attribution, funnel analysis, and campaign measurement.
• Proficiency in Python for lightweight automation.
• Background in analytics enablement or internal Center of Excellence initiatives.

Culture & Benefits

• Collaborative and inclusive workplace culture that values unique perspectives.
• Opportunity to work on a high-impact, data-driven platform with massive scale.
• Focus on professional growth through cross-functional collaboration and organizational change.
• Hybrid work environment supporting flexibility and team connectivity.