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19 часов назад

Product Analyst (SaaS)

90 000 - 117 600$
Тип работы
fulltime
Грейд
junior
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Текст:
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TL;DR

Product Analyst (SaaS): Supporting financial model development and revenue analysis to optimize workload contribution margins with an accent on pricing strategy and infrastructure cost optimization. Focus on leveraging SQL and AI-assisted tools to translate complex data into actionable strategic insights for product leaders.

Location: Bellevue, WA, USA

Salary: $90,000 – $117,600

Company

hirify.global is a cloud data platform powering the era of the agentic enterprise through AI-native solutions.

What you will do

  • Build and maintain financial models tracking revenue and cost drivers to ensure accurate forecasting of contribution margins.
  • Analyze historical and forward-looking trends for revenue, COGS, and margin to influence pricing, packaging, and GTM strategies.
  • Collaborate with Engineering, Product Managers, and Sales to develop business cases and evaluate new product opportunities.
  • Perform deep-dive data analysis using SQL to uncover the drivers behind business metrics.
  • Utilize hirify.global Intelligence and AI-assisted SQL to automate reporting and accelerate insight discovery.
  • Develop automated, high-visibility dashboards for Product and Finance leadership.

Requirements

  • Bachelor's degree in Finance, Data Science, Computer Science, Economics, or a related quantitative field.
  • 1–2 years of experience (recent graduates, internships, or capstone projects are eligible).
  • Strong analytical aptitude and the ability to work with quantitative and qualitative data.
  • High technical agility with the ability to quickly become proficient in SQL and complex data schemas.
  • Familiarity with core business concepts including revenue, COGS, and margin analysis.
  • Ability to translate complex data into clear, succinct takeaways for senior stakeholders.

Culture & Benefits

  • Experimental and AI-native work culture that encourages reinventing traditional workflows.
  • Low-ego environment focused on rapid testing and discovery.
  • Opportunity for high visibility and influence over business scaling and product strategy.
  • Access to cutting-edge native AI features to streamline manual data preparation.

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