Manager, Data Analytics

Job not on LinkedIn

🕒 May 5

🇺🇸 United States – Remote

💵 $144.5k - $200k / year

⏰ Full Time

🟠 Senior

🔴 Lead

📉 Data Analyst

👻 Ghost score 36%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Hotel Engine

WebsiteLinkedInAll Job Openings

201 - 500 employees

Founded 2018

🏨 Hospitality

📦 Logistics

🛍️ eCommerce

💰 $65M Series B on 2021-12

Hospitality • Logistics • eCommerce

Hotel Engine is a powerful platform that simplifies business travel by allowing companies to easily book, manage, and save on travel needs. The platform offers access to over 750,000 hotels globally, enabling seamless reservations for various group sizes, from small teams to large corporate events. With features like centralized reporting, flexible payment options, and dedicated support, Hotel Engine aims to streamline the travel experience for both organizations and individual travelers, ensuring significant savings in time and money.

📋 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.

🎯 Requirements

• 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.

🏖️ Benefits

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