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2 дня назад

Data Analyst (Cloud Financial Operations)

114 200 - 142 700$
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
Data Analyst (Cloud Financial Operations) (Cloud Financial Data): Building dashboards, self-service data tools, and pipelines for optimizing and forecasting cloud spending with an accent on SQL, Python, enterprise data modeling, and cloud cost analysis. Focus on ingesting and aggregating cost datasets, defining efficiency metrics, and solving complex business and operational problems for multiple stakeholders.

Location: San Francisco, CA; hybrid work requiring attendance at the San Francisco office 3 days per week.

US base salary: $114,200–$142,700 per year for the San Francisco location.

Company

hirify.global designs, builds, and operates a constellation of imaging satellites and delivers satellite data through a cloud-based platform for commercial, environmental, and humanitarian users.

What you will do

  • Build and own extract, transform, and load pipelines that ingest and aggregate cloud cost datasets.
  • Analyze and visualize data to inform product, business, and operational decisions.
  • Collaborate with stakeholders to define metrics measuring product and business efficiency.
  • Build datasets and self-service data tools using modern data tooling.
  • Contribute to discussions and code reviews with Data Scientists, Analysts, and Engineers.

Requirements

  • 4+ years of relevant experience.
  • A bachelor’s degree, technical certification, or equivalent.
  • Expertise in SQL and Python for data cleaning, aggregation, and analytics.
  • Experience with Git or another version-control system.
  • Familiarity with enterprise cloud platforms and cloud cost use cases.
  • Reliability and accuracy in analytics work.
  • Experience working in a dynamic environment serving multiple stakeholder groups with different needs and technical abilities.

Nice to have

  • Experience with the modern data stack, including Fivetran, dbt, Looker, Omni, Sigma, or similar tools.
  • Experience enabling finance teams with cost and revenue data.
  • Familiarity with enterprise cloud platforms, preferably GCP.

Culture & Benefits

  • People-centric culture focused on belonging, inclusion, and community.
  • Medical, dental, and vision plans, plus an HSA with a company contribution.
  • Paid time off, holidays, company-wide days off, and 16 weeks of paid parental leave.
  • Wellness and employee assistance programs, home-office reimbursement, and monthly phone and internet reimbursement.
  • Tuition reimbursement, LinkedIn Learning access, equity, commuter benefits for office-based employees, and paid volunteer time off.

Hiring process

  • Applications are reviewed on a rolling basis and the posting may close early.
  • Select interviews may be recorded with candidate consent using an AI notetaker; candidates may opt out.
  • Use of AI tools during live interviews or assessments is prohibited unless explicitly permitted.

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