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11 часов назад

Analyst (Commercial Analytics)

90 000 - 105 000$
Формат работы
hybrid
Тип работы
fulltime
Грейд
middle
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
Analyst (Commercial Analytics) (SQL/Data Visualization): Analyzing commercial data and building dashboards, reports, and forecasting models that support revenue decisions across flights, hotels, cars, and advertising with an accent on data quality, KPI definition, and cross-functional reporting. Focus on exploring large datasets, troubleshooting reporting discrepancies, translating commercial needs into technical requirements, and developing AI-assisted analytics solutions.

Location: Cambridge, Massachusetts, United States; hybrid work with at least 3 days per week in the Cambridge office

Salary: $90,000–$105,000 per year, plus eligibility for an annual bonus

Company

hirify.global is a travel search engine within Booking Holdings, operating global metasearch brands and a corporate travel solution.

What you will do

  • Analyze commercial datasets across flights, hotels, cars, and advertising to identify trends, opportunities, and performance drivers.
  • Build and maintain dashboards and reports using data visualization and reporting tools.
  • Respond to ad-hoc analysis requests and present findings to technical and non-technical stakeholders, including senior commercial leaders.
  • Monitor data accuracy, troubleshoot discrepancies, and maintain reporting reliability.
  • Define and document KPIs and build models for forecasting and goal-setting.
  • Collaborate with data engineering and business intelligence teams on data quality, technical requirements, inventory forecasting, partner reporting, and AI-assisted analytics solutions.

Requirements

  • At least 2 years of experience in analytics, business intelligence, operations, or a similar data-focused role.
  • At least 2 years of hands-on SQL experience with large datasets.
  • Hands-on experience with a data visualization or reporting tool such as Looker, Tableau, Superset, or Power BI.
  • Ability to communicate data findings clearly through written summaries and presentations.
  • Curiosity, attention to detail, and comfort solving ambiguous problems with data.
  • Ability to work from the Cambridge, Massachusetts office at least 3 days per week.

Nice to have

  • Experience with Python or R for data manipulation, automation, or modeling.
  • Familiarity with travel, e-commerce, or digital advertising.
  • Experience with AI or agentic analytics tools.
  • Exposure to large-scale data warehouses such as Trino or Vertica.

Culture & Benefits

  • Work from almost anywhere for up to 20 days per year.
  • Health benefits, flexible spending account, retirement benefits, life insurance, and paid leave.
  • Paid parental leave, volunteer time, vacation, birthday time off, and a company-wide week off.
  • Company-paid therapy sessions, Headspace subscription, and mental health support.
  • Development dollars, leadership development, and access to on-demand learning.
  • Travel discounts, employee resource groups, free lunch twice a week, and quarterly events.

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