⚠︎ Архивная вакансия
Эта вакансия была перемещена в архив. Возможно она уже не актуальна и рекрутер больше не принимает отклики на эту вакансию. Вы можете  найти актуальные похожие вакансии

Product Analyst

Прямой работодатель  Muse Group ( www.mu.se )
Cyprus
Сеньор
Аналитика, Data Science, Big Data • Product аналитика • Аналитик • Data Analysis
16 октября
Релокация • Удаленная работа
Опыт работы любой
Работодатель  Muse Group
Описание вакансии

Muse Group

Muse Group empowers music makers. We create the world’s most popular apps for playing, recording and composing music.

Through our innovative learning tools, expansive music catalogs and free open-source software, we make it easier for millions — from beginners to experienced musicians — to be creative every day.

Our talented team of music lovers collaborates all over the globe, from Limassol to Seoul and Boston to Berlin. We’re an ambitious company with the drive and culture of a startup, with many more exciting Muse Group developments to come.

We are seeking a Product Analyst (SEO) to take a pivotal role in driving the SEO traffic growth of our flagship products.

Key responsibilities:

  • Building dashboards for monitoring SEO metrics and traffic
  • Creating alerts for dashboards for quick response
  • Regular traffic analysis, comparing week to week, month to month, year to year
  • Conducting research related to traffic
  • Calculating the potential of hypotheses for traffic growth
  • Calculating the results of hypothesis testing
  • Generating hypotheses based on the data obtained
  • Monitoring the market, analyzing competitors
  • Working with ahrefs, SEMrush, GSC, and other analytical tools
  • Ability to independently work with simple APIs for data extraction

Required experience:

  • Proficiency in SQL of any dialect (Clickhouse - advantage)
  • Proficiency in Python/R with basic statistical, data engineering, visualisation libs (or experience with other programming languages)
  • Good level in math, probability theory and mathematical statistics (understanding of theory at a high level, experience in conducting A/B tests, testing hypotheses on data in practice);
  • Experience with BI tools
  • Experience with ETL tools (Airflow, Astromer, etc.)
  • Product and business mindset

Специализация
Аналитика, Data Science, Big DataProduct аналитикаАналитик
Отрасль и сфера применения
Data Analysis
Уровень должности
Сеньор