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

Hopper · Austin, TX · 2 wk ago
RemoteRemoteAnalyst$180k–$250k/yrFull-time

About The Role

Hopper is hiring a Strategy & Analytics Manager to own the analytical and operational infrastructure powering our Travel Commercial organization. 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.

Responsibilities

  • 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.

  • 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.

  • 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.

Requirements

  • 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.

Qualifications

  • Education: Bachelor's degree in Computer Science, Statistics, Data Science, Business Analytics, or a related field.

  • Experience: 2+ years of relevant experience in data analytics, sales operations, strategy & operations, or a similar analytical or commercial role.

  • Technical Skills: Proficiency in SQL, hands-on experience with BI and data tools such as Looker, Tableau, or BigQuery.

  • Soft Skills: Strong commercial instincts, rigorous analytical capability, and the ability to move between strategic and hands-on roles.

  • Other: Experience working cross-functionally with Product and/or Engineering teams, with enough technical fluency to hold their own in those conversations.

Skills

  • Data Modeling

  • BI Tools (Looker, Tableau, BigQuery)

  • AI Tools

  • Commercial Processes

  • Operational Improvements

  • Product and Engineering Collaboration

  • First-Principles Thinking

  • Bias for Action

Benefits

  • Well-funded and proven startup with large ambitions, competitive salary and the upsides of pre-IPO equity packages.

  • Unlimited PTO.

  • Carrot Cash travel stipend.

  • Access to co-working space on demand through FlexDesk AND Work-from-home stipend.

  • Very generous parental leave, much above industry standards.

Pay

$180K - $250K

Schedule

Full-time

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