Manager, Data Analytics

Emploi pas sur LinkedIn

🕒 il y a 1 mois

🇺🇸 États-Unis – Télétravail

💵 $144 500 - $200 000 / an

⏰ Temps Plein

🟠 Senior

🔴 Expert

📉 Analyste de Données

🗣️🇺🇸🇬🇧 Anglais requis

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Logo of Hotel Engine

Hotel Engine

201 - 500 employés

Fondée en 2018

🛍️ eCommerce

🚗 Transport

💰 €65 000 000 Series B en 2021-12

eCommerce • Transport • Travel

Hotel Engine est une plateforme performante qui simplifie les voyages d'affaires en permettant aux entreprises de réserver, gérer et économiser facilement sur leurs besoins de déplacement. La plateforme offre un accès à plus de 750 000 hôtels dans le monde entier, permettant des réservations fluides pour divers groupes, des petites équipes aux grands événements corporatifs. Avec des fonctionnalités telles que des rapports centralisés, des options de paiement flexibles et un support dédié, Hotel Engine vise à rationaliser l'expérience de voyage pour les organisations et les voyageurs individuels, garantissant des économies considérables de temps et d'argent.

Description

• Lead, coach, and develop a team of approximately 8 data analysts supporting Pricing & Supply initiatives. • Partner closely with leaders across Pricing, Supply, Product and Data to define analytical priorities and drive measurable business impact. • Build a strong analytics operating model, including prioritization, stakeholder management, quality standards, reusable reporting, and scalable insight generation. • Translate ambiguous business questions into clear analytical plans, decision frameworks, dashboards, experiments, and recommendations. • Help the business better understand pricing performance, supplier coverage, marketplace dynamics, conversion, margin, customer behavior, and operational levers. • Raise the bar for analytical rigor across the team, including metric definition, data storytelling, root-cause analysis, experimentation, and forecasting. • Develop analysts into stronger business partners who can influence decisions, communicate clearly, and operate with ownership. • Identify opportunities to improve the data foundation, partnering with data engineering and analytics engineering teams to improve tooling, data models, and self-service capabilities.

🎯 Exigences

• 7+ years of experience in data analytics, business analytics, data science, or a related analytical function. • 3+ years of experience managing, mentoring, and developing analysts or analytics teams. • Strong SQL skills and comfort working with large, complex datasets. • Experience using data to influence business decisions in a high-growth, product-led, marketplace, e-commerce, SaaS, travel, fintech, logistics, or similarly complex operating environment. • Strong business judgment, with the ability to connect analytics work to revenue, margin, customer experience, operational efficiency, or strategic priorities. • Experience building scalable analytics processes, dashboards, reporting standards, and prioritization systems. • Clear communication skills with the ability to influence both technical and non-technical stakeholders. • A strong track record of hiring, developing, and retaining high-performing analytical talent.

🏖️ Avantages

• Competitive base pay tied to role and experience, with opportunities for bonuses, commissions, and equity. • Check out our full list at engine.com/culture.

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