Strategy & Analytics Manager— Travel Supply & AI (100% Remote - USA)

About The Role

Hopper is hiring a Strategy & Analytics Manager to own the analytical and operational infrastructure powering our Travel Commercial organization. This role sits 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-Today Look Like?

• Design, build, and maintain the data models, dashboards, and reporting frameworks that give the commercial organization 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.
• Identify where AI can fundamentally change how commercial processes work, then build and deploy those solutions directly.
• 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.

Qualifications

• 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.
• 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.