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9 дней назад

Product Analyst

176 000 - 187 000$
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

Текст:
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TL;DR
Product Analyst (SQL/Python): Analyzing athlete behavior and product data to generate insights, define metrics, and support data-informed decisions across cross-functional product teams with an accent on experimentation, data quality, and end-to-end analytics solutions. Focus on designing and interpreting A/B tests, building ETL and data models, and developing dashboards that translate trends into clear product actions.

Location: San Francisco, United States; hybrid with three days per week onsite in the San Francisco office

Salary: $176,000–$187,000 annual base compensation, plus equity

Company

hirify.global builds software for active people, helping athletes track workouts, connect with a community, and achieve their goals.

What you will do

  • Analyze athlete data, usage patterns, and product opportunities to generate actionable insights.
  • Partner with product managers, engineers, designers, researchers, and other stakeholders to inform product strategy and decisions.
  • Advise product teams on A/B test design, experimentation practices, and interpretation of results.
  • Evaluate product data tracking and quality, collaborating with engineers to implement improvements.
  • Own analytical reporting, exploratory dashboards, data instrumentation, ETL, and data modeling.
  • Surface trends, quantify impact, and translate findings into clear actions while collaborating with data science and data engineering.

Requirements

  • 4+ years of full-time experience in analytics, data science, or another quantitative field, preferably in consumer-facing technology.
  • Strong SQL skills and experience with business intelligence tools such as Omni.
  • Deep understanding of data pipelines, ETL, scripting, and DBT.
  • Experience defining metrics and dimensions that reflect user behavior and guide product and business decisions.
  • Hands-on experience with experimentation, A/B testing, hypothesis testing, and regression analysis.
  • Experience using R or Python for data wrangling and modeling, with the ability to manage concurrent projects and communicate clearly.

Culture & Benefits

  • Flexible hybrid work model with more than half of working time onsite.
  • Equity is included in the compensation package.
  • Inclusive workplace focused on employee growth and accessibility.
  • Work alongside a global community-oriented product organization.

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