Senior Data Analyst – Finance

Job not on LinkedIn

🔥 2 minutes ago

🇺🇸 United States – Remote

💵 $131.5k - $154.7k / year

⏰ Full Time

🟠 Senior

📉 Data Analyst

👻 Ghost score 1%

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Logo of Hotel Engine

Hotel Engine

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

• Partner with product, engineering, and design stakeholders to lead metrics definition, reporting, and analyses • Lead analytics projects and derive actionable insights for product and business performance • Design and build statistical analyses for business questions and product functionalities • Participate in product and growth experiments • Build and maintain data pipelines for product and business metrics • Collaborate with data engineers on data assets and feature stores for automation, analytics, and machine learning • Manage business intelligence reporting dashboards • Use advanced SQL to explore complex datasets and uncover insights on pricing and business performance • Investigate open-ended business questions, identify patterns, quantify opportunities, and recommend strategic pricing decisions • Translate analytical findings into clear insights for senior leadership • Partner with product, pricing, and engineering teams to scope analytical needs and validate hypotheses

🎯 Requirements

• Bachelor’s degree in Data, Economics, Statistics, Operations Research, or a related quantitative field • 5+ years of relevant work experience as a Data or Business Analyst • Proven track record of manipulating and extracting value from datasets • Experience building complex SQL queries • Strong fundamentals in statistics and econometrics, including regressions and hypothesis testing • Excellent communication skills and ability to distill complex issues and analyses • Inquisitive mindset and desire to understand the reasons behind data • Experience with Looker, Snowflake, and Amplitude is a plus

🏖️ Benefits

• Equity for all employees • Some roles are eligible for annual bonuses or commissions • Competitive base pay tied to role and experience • Hybrid-hub model with office-based or fully remote environments • Opportunities for growth, learning, and meaningful impact • Data-driven culture valuing innovation and continuous improvement

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