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3 дня назад

Product & Marketing Analyst

Формат работы
remote (Global)
Тип работы
fulltime
Грейд
middle
Английский
b2
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Мэтч & Сопровод

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Описание вакансии

Текст:
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TL;DR

Product & Marketing Analyst: Engaging with product managers and marketers to shape analytics strategy, build dashboards, and run A/B tests with an accent on uncovering insights to improve product and marketing performance. Focus on designing experiments, statistical analysis, and ensuring data quality for data-driven decision-making.

Location: Remote

Company

hirify.global develops mobile applications, with Dancebit being an app focused on turning exercise into a dance party with dance workouts.

What you will do

  • Engage with key stakeholders to identify needs and shape the analytics strategy.
  • Prioritize tasks balancing urgent requests with long-term strategic initiatives.
  • Build and maintain dashboards, reports, and key metrics.
  • Design, run, and analyze A/B tests to validate hypotheses and measure product changes.
  • Collect requirements and maintain event logging templates for accurate tracking.
  • Ensure data quality, uncover insights, and provide actionable recommendations for product and marketing performance.

Requirements

  • 2+ years of experience in a similar analytics role.
  • Advanced SQL proficiency for querying and analyzing large datasets.
  • Strong Python skills (pandas, data visualization, statistics) for data manipulation and analysis.
  • Solid understanding of statistics, including experiment design and statistical tests.
  • Hands-on experience with BI tools such as Tableau or Power BI.
  • Ability to communicate insights effectively by presenting analysis results clearly.

Nice to have

  • Experience in full-cycle product analytics, owning both product and marketing analytics.
  • Experience with subscription monetization products (metrics, retention, churn analysis).
  • Basic knowledge of Data Science (machine learning concepts, predictive modeling).

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