11 часов назад
Analyst (Commercial Analytics)
90 000 - 105 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
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
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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