Original listing text, shown exactly as published by the company.
About the Role
Hopper is hiring a Strategy & Analytics Manager to own the analytical and operational infrastructure powering our Travel Commercial organisation — the team responsible for all hotel, home, and car inventory distributed to our global partners. This is a hands-on builder role sitting at the intersection of data, process, and technology, working in close partnership with Product and Engineering and reporting into senior commercial leadership.
What would your day-to-day look like
- Design, build, and maintain the data models, dashboards, and reporting frameworks that give the commercial organisation clear, trusted visibility across the full commercial funnel
- Use AI tools as a core part of your analytical workflow — accelerating insight generation, improving output quality, and freeing up capacity for higher-order problem solving
- Run deep-dive analytical projects to surface patterns, anomalies, and opportunities in commercial data, translating findings into clear and actionable recommendations for commercial stakeholders
- Define and track KPIs that measure both business outcomes and the effectiveness of the processes driving them, creating a continuous improvement feedback loop
- Own preparation and follow-through for key internal meetings, strategic reviews, and cross-functional forums — ensuring the right data is in the room and decisions translate into clear next steps
- Build the analytical frameworks that underpin quarterly planning, forecasting, and target-setting, producing outputs commercial leaders can use directly
- Map, challenge, and rebuild core commercial workflows — including pipeline management, forecasting cadences, and sales incentive structures — into cleaner, faster, and more scalable ways of working
- Implement operational improvements end-to-end: not just designing the solution, but driving adoption and measuring impact with rigour
- Identify where AI can fundamentally change how commercial processes work, then build and deploy those solutions directly
- Develop a hands-on understanding of our commercial tech stack, diagnosing where friction, data loss, or missed opportunities exist
- Translate commercial problems into well-defined briefs that Product and Engineering teams can act on, bringing enough technical fluency to be a genuine peer in those conversations
An ideal candidate has
- 2+ years of experience in data analytics, sales operations, strategy & operations, or a similar analytical or commercial role
- Proficiency in SQL and hands-on experience with BI and data tools such as Looker, Tableau, or BigQuery
- A track record of building things — data models, dashboards, process frameworks, and operational tools — not just recommending them
- Strong commercial instincts paired with rigorous analytical capability, comfortable moving between a strategic conversation and a hands-on build
- Genuine excitement about AI and an existing habit of using it to accelerate and improve their own work, with an eagerness to bring that into how a commercial organisation operates
- Experience working cross-functionally with Product and/or Engineering teams, with enough technical fluency to hold their own in those conversations
- First-principles thinking — questioning assumptions, stress-testing processes, and always asking why something works the way it does
- A bias for action, a strong sense of ownership, and the ability to thrive in fast-moving, ambiguous environments
