Сравним вакансию с вашим действующим резюме и составим письмо под эту роль.
Описание вакансии
Location: Almaty, Kazakhstan; Astana, Kazakhstan; Belgrade, Serbia; Cluj-Napoca, Romania; Dnipro, Ukraine; Kharkiv, Ukraine; Krakow, Poland; Kyiv, Ukraine; Larnaca, Cyprus; Lodz, Poland; Lublin, Poland; Lviv, Ukraine; Odesa, Ukraine; Remote.BG, Bulgaria; Remote.GE, Georgia; Remote.KZ, Kazakhstan; Remote.PL, Poland; Riga, Latvia; Sofia, Bulgaria; Tbilisi, Georgia; Varna, Bulgaria; Warsaw, Poland; Wroclaw, Poland; Yerevan, Armenia
We are looking for a Senior Data Analyst with strong product analytics experience to design, execute, and analyze complex experiments that support product and business decisions. You will work independently on analytical tasks and collaborate with team leads and product stakeholders to deliver clear, actionable insights.
You will work on a learning platform that helps educators access high quality teaching and learning materials. The project is centered on product analytics, experimentation, and data driven insights that improve product performance and business outcomes.
Design complex experiments and A B tests to validate hypotheses and measure business impact
Define success metrics and apply statistical methods to ensure reliable results
Analyze user behavior, conversion funnels, engagement, and retention
Translate analytical findings into actionable recommendations for product improvement
Identify opportunities to improve product performance
Own analytical tasks end to end in collaboration with team leads and product stakeholders
Present findings and recommendations to support data driven decision making
5+ years of experience in Data Analytics including strong hands on experience in Product Analytics
Strong experience in product analytics and complex experimentation including A B testing
Advanced SQL skills and solid knowledge of statistical analysis
Hands-on experience with Tableau and BigQuery.
Experience analyzing user behavior, conversion funnels, and product performance metrics
Ability to translate complex data into clear business insights
Ability to work independently
Good communication and stakeholder management skills
Experience in eCommerce, subscription based businesses, or digital product analytics
Experience with Databricks
Контакты работодателя доступны по кнопке «Откликнуться» после входа.
Мэтч и сопроводительное
Сравним вакансию с вашим действующим резюме и составим письмо под эту роль.
ОфисseniorMinsk; Lead Agile ceremonies (Sprint Planning, Daily Standups, Backlog Grooming, Retrospectives) for distributed engineering groups across time zones; Time Zone Overlap:
Зарплаты и спрос: Продуктовый аналитик
Сейчас в каталоге 218 вакансий по этому направлению, удалённо можно работать в 38%.
Навыки этой вакансии, которые чаще всего просят по направлению: Tableau (24%). В скобках доля вакансий направления.