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15 часов назад

Senior Product Analyst (Logistics)

119 000 - 130 000$
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

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TL;DR

Senior Product Analyst (Logistics): Owning analytics for the Spot Pricing product to optimize win rates and influence product strategy with an accent on translating ambiguous business questions into structured analyses. Focus on designing A/B tests, building KPIs/OKRs, and delivering high-impact data-driven recommendations to prioritize product enhancements.

Location: Hybrid (San Diego/Encinitas or Los Angeles area); in-office on Monday, Tuesday, and Thursday.

Salary: $119,000 - $130,000 per year

Company

AI-powered logistics company utilizing patented pooling technology to optimize shipments and operating as a Certified B Corp.

What you will do

  • Own analytics for the Spot Pricing product, evaluating pricing performance and shipment win rates.
  • Translate ambiguous business questions into structured analyses that drive measurable business outcomes.
  • Partner with Product Management to define, measure, and visualize product KPIs and OKRs.
  • Perform 5–10 high-impact analyses monthly to validate hypotheses and measure feature impact.
  • Design and support experimentation efforts, including A/B testing and MVP validation.
  • Build and maintain dashboards and data pipelines using SQL and Python.

Requirements

  • Bachelor’s degree in a quantitative field (Statistics, Mathematics, Economics, Engineering, or Computer Science).
  • 3–5+ years of experience in Product, Pricing, or Marketplace Analytics.
  • Advanced SQL proficiency for complex analysis and data validation.
  • Experience with BI platforms such as Tableau, Looker, Sigma, or Mode.
  • Experience with experimentation methodologies and hypothesis testing.
  • Must be based in the San Diego/Encinitas and Los Angeles area.

Nice to have

  • Experience using Python for data analysis, automation, or statistical modeling.
  • Exposure to machine learning concepts or predictive analytics.
  • Experience with freight, logistics, transportation, or two-sided marketplaces.
  • Experience working in Agile product development environments.

Culture & Benefits

  • Hybrid work model combining remote flexibility with scheduled in-office collaboration.
  • 401(k) retirement plan.
  • Comprehensive Medical, Dental, and Vision insurance (HMO and PPO options).
  • Equity package for full-time employees.
  • Inclusive environment with a commitment to high social and environmental standards.

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