Finance Analytics & AI Lead β€” Data, Insights & Enablement in London

Finance Analytics & AI Lead β€” Data, Insights & Enablement in London

London Full-Time 80000 - 100000 Β£ / year (est.) No working from home possible
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At a Glance

  • Tasks: Lead finance analytics and AI initiatives to drive business insights and decisions.
  • Company: Hopper, a dynamic player in travel and SaaS industries.
  • Benefits: Competitive salary, equity options, and opportunities for professional growth.
  • Other info: Collaborative environment with a focus on innovation and data-driven decision making.
  • Why this job: Shape the future of finance analytics with cutting-edge AI technologies.
  • Qualifications: 15+ years in analytics, strong SQL/Python/GCP skills, and leadership experience.

The predicted salary is between 80000 - 100000 Β£ per year.

Hopper is seeking a Lead, Finance Analytics & Enablement AI/ML to own our data warehouse, BI, GCP optimization, and Finance AI enablement strategy.

You will partner across the organization, reporting to the CFO, and drive insights to shape business decisions in travel and Saa S.

The ideal candidate brings 15+ years of experience, strong SQL/Python/GCP, and deep data governance, with hands-on leadership of analytics teams and AI automation roadmaps.

Competitive salary and equity are offered.

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Finance Analytics & AI Lead β€” Data, Insights & Enablement in London employer: Hopper

Hopper is an exceptional employer that fosters a vibrant and innovative work culture in the heart of Edinburgh. With a focus on AI-driven solutions, employees enjoy competitive salaries, equity options, and unlimited paid time off, all while being encouraged to take risks and communicate openly. The company prioritises employee growth, offering opportunities to lead impactful projects and develop skills in a fast-paced startup environment.

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Contact Details:

Hopper Recruitment Team

We think you need these skills to ace Finance Analytics & AI Lead β€” Data, Insights & Enablement in London

Data Warehouse Management
Business Intelligence (BI)
Google Cloud Platform (GCP)
SQL
Python
Data Governance
AI/ML Strategy