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23 часа назад

Senior Finance Data Modeler (Power BI)

116 010 - 228 070$
Формат работы
hybrid
Тип работы
fulltime
Грейд
senior
Английский
c1
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify RU Global, списка компаний с восточно-европейскими корнями
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TL;DR

Senior Finance Data Modeler (Power BI): Developing scalable data models and Power BI reports for hirify.global's Finance Analytics Environment with an accent on automating financial metrics gathering and integrating experimental AI capabilities. Focus on translating business requirements into technical specs, partnering with IT for production deployment, and communicating business impact to executives.

Location: Hybrid work model requiring time on-site at hirify.global sites in US, Oregon (Hillsboro) or Arizona (Phoenix). This position is not eligible for hirify.global's immigration sponsorship.

Salary: $116,010–$228,070

Company

hirify.global Finance Data, AI, and Reporting team partners with IT to build and maintain the Finance Analytics Environment for secure financial data access and analytics.

What you will do

  • Develop scalable data models to reduce manual gathering of key business metrics for hirify.global Finance.
  • Translate business requirements into technical specs for IT partners.
  • Build experimental AI capabilities into production-ready platforms for internal stakeholders.
  • Partner with cross-functional teams to deliver analytics products at scale.
  • Communicate business impact of your work to senior and executive leadership.

Requirements

  • Advanced English proficiency (verbal and written) required.
  • Bachelor's degree in finance, economics, or related field with 5+ years relevant experience.
  • 4+ years experience with data modeling for financial analytics.
  • 2+ years with Power BI, Power Query M, DAX, or SQL.
  • 2+ years technical experience in finance and operations systems.
  • 2+ years with Power BI Datasets, Azure Analysis Services, or SQL Server Analysis.

Nice to have

  • Familiarity with DAX guide, PnL/OpEx/Revenue/Cost reporting, master data.
  • Experience with finance systems for forecast/close, source control (GitHub/TFS).
  • Proficiency in Python and R.
  • Knowledge of corporate financial systems, ERP, close processes, IT partnering.

Culture & Benefits

  • Competitive pay, stock bonuses, health, retirement, and vacation benefits.
  • Hybrid work model splitting on-site and off-site time.
  • Collaboration-focused environment thriving on innovation and data-driven solutions.
  • Strategic partnership in driving business decisions and global operations.

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