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3 дня назад

Senior Data Analyst, Revenue (SaaS)

156 082 - 195 103$
Формат работы
hybrid
Тип работы
fulltime
Грейд
senior
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
Senior Data Analyst, Revenue (SaaS): Developing revenue attribution, forecasting, customer behavior, and financial performance models for a data infrastructure company with an accent on mathematical rigor, statistical analysis, and highly accurate financial logic. Focus on building scalable analytical infrastructure, validating models and financial data, and translating complex business questions into executive-level decisions.

Location: USA – New York, NY; flexible hybrid work based out of the New York office. There is no mandated number of office days, but weekly in-person collaboration is encouraged.

Salary: $156,082–$195,102.50 USD annually.

Company

Fivetran and dbt Labs are combining data movement and analytics engineering capabilities to help organizations build trusted foundations for analytics, AI, and business decisions.

What you will do

  • Develop mathematical models for revenue attribution, forecasting, customer behavior, and financial performance.
  • Design financial logic that connects revenue to customers, products, contracts, usage, and other business dimensions.
  • Build forecasting models using historical trends, leading indicators, statistical methods, and machine learning, and continuously evaluate their accuracy.
  • Create scalable data models, pipelines, and automated analytical systems supporting reporting for more than 2,000 stakeholders.
  • Build validation, testing, and quality-assurance processes for financial data and analytical models.
  • Partner with Finance leadership and executives to define metrics, analyze business questions, and support strategy, planning, and resource-allocation decisions.

Requirements

  • Ability to work from the USA and attend the New York office as part of a flexible hybrid model.
  • 4+ years of experience in analytics, data science, business intelligence, or a related analytical role.
  • Advanced SQL and data-modeling skills across large, complex datasets.
  • Strong foundation in mathematics, logic, statistics, quantitative analysis, and numerical problem-solving.
  • Experience with Looker, Tableau, Sigma, or similar business-intelligence and visualization tools.
  • Strong analytical judgment, communication, data storytelling, attention to detail, and ability to own ambiguous analytical problems end to end.

Nice to have

  • Experience supporting key business decisions at a high-growth, SaaS, or B2B product company.
  • Experience using analytics to improve how organizations attract, develop, and support their people.

Culture & Benefits

  • Flexible hybrid work combining remote flexibility with in-person collaboration.
  • Employer-paid medical insurance.
  • Paid time off, sick leave, inclusive parental leave, holidays, a Global Week of Rest, and volunteer days.
  • RSU stock grants and a monthly cell phone stipend.
  • Professional development, training, mental-health support, and team-building activities.

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