Назад
Company hidden
2 дня назад

Decision Scientist (Payments)

3 200 - 4 300
Формат работы
hybrid
Тип работы
fulltime
Английский
c1
Страна
Lithuania
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
Для мэтча и отклика нужен Plus

Мэтч & Сопровод

Для мэтча с этой вакансией нужен Plus

Описание вакансии

Текст:
/

TL;DR

Decision Scientist (Payments): Shaping payments products by leveraging data to drive impactful decision-making with an accent on identifying strategic opportunities, providing data-driven recommendations, and understanding business impact using statistical methods. Focus on selecting and monitoring key performance indicators, proactively flagging issues, and enabling data self-service for stakeholders.

Location: Hybrid in Kaunas or Vilnius, Lithuania.

Salary: €3,200–€4,300 gross per month.

Company

hirify.global is Europe's leading platform for second-hand fashion, founded in Lithuania, which became a unicorn in 2019, now with offices across Europe, focused on marketplace, shipping (hirify.global Go), and secure payments (hirify.global Pay).

What you will do

  • Partner with your team and stakeholders to identify strategic opportunities and provide data-driven recommendations.
  • Test and analyse developed opportunities to validate their value and understand their business impact, using statistical methods and visualisation tools.
  • Select, calculate, and monitor your team's key performance indicators, proactively flagging issues and understanding root causes.
  • Enable your team and direct stakeholders to independently leverage data for business insights via self-service dashboards.
  • Contribute to a data-driven culture by promoting best practices in analytics and decision-making.

Requirements

  • Experience in a Decision Science or Data Analytics role.
  • Good analytical thinking and problem-solving skills, balancing depth of analysis with business impact.
  • Familiarity with SQL and Python.
  • Experience with BI tools (e.g., Looker, Tableau, Power BI).
  • Knowledge of statistical methods, such as A/B testing, regression analysis, and other inferential techniques.
  • Highly results-oriented and comfortable with iterative processes.
  • Strong communication skills to present results to both technical and non-technical audiences.
  • Fluent in English, both written and spoken.

Culture & Benefits

  • Opportunity to benefit from a share options programme.
  • 25 working days of holiday.
  • Home office support, including IT workstation equipment and a personal budget of up to €540 for home workplace furniture.
  • Private health insurance and mental health support through the Mindletic app.
  • Opportunity to spend up to 90 days per year on workation, including 21 days outside of the EU.
  • Annual individual learning budget for professional growth.
  • Hybrid workplace model with 2 days in the office recommended but not enforced in Kaunas or Vilnius.

Будьте осторожны: если работодатель просит войти в их систему, используя iCloud/Google, прислать код/пароль, запустить код/ПО, не делайте этого - это мошенники. Обязательно жмите "Пожаловаться" или пишите в поддержку. Подробнее в гайде →

Текст вакансии взят без изменений

Источник - загрузка...