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4 дня назад

Data Analyst (Data Science)

14 400RON
Формат работы
hybrid
Тип работы
fulltime
Грейд
junior
Английский
b2
Страна
Romania
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
Data Analyst (Data Science): Delivering market, brand, and consumer insights by mining large datasets and applying advanced analytics with an accent on forecasting, optimization, and strategic business consulting. Focus on analyzing market and share performance, identifying trends and root causes, and developing growth opportunities and competitive strategies.

Location: Bucharest office, Romania; hybrid work-from-home/work-from-office option

Salary: 14,400 RON gross per month, plus a 13th salary and vacation bonus.

Company

Procter & Gamble produces globally recognized consumer brands and operates in approximately 70 countries.

What you will do

  • Deliver business insights by mining extremely large datasets and applying advanced analytical techniques and algorithms.
  • Analyze market and brand share performance to identify trends and root causes.
  • Forecast growth opportunities and competitive threats to support new market strategies.
  • Expand organizational knowledge and capabilities in analytics.
  • Collaborate with data scientists and analysts on analytics applications and business solutions.

Requirements

  • Be at least in the second year of a bachelor's degree in data science, computer science, engineering, applied mathematics, statistics, analytics, or a related field.
  • Business fluency in written and spoken English is required.
  • Passion for data analysis, programming, discovering insights, and developing strategic recommendations.
  • Strong written, visual, and verbal communication skills.
  • Strong interpersonal skills, prioritization ability, self-motivation, collaboration, and a can-do attitude.
  • Experience with at least one data science programming language or business analytics tool, including SQL, R, Python, or Power BI, is required.

Nice to have

  • Previous knowledge of the Hadoop or Azure big data ecosystem.

Culture & Benefits

  • Continuous coaching, formal training, and mentorship.
  • Dynamic, respectful environment with emphasis on agility, inclusion, initiative, and work-life balance.
  • Annual salary reviews, competitive benefits, annual bonus, and vacation bonus.
  • Private medical, life, and 24-hour accident insurance.
  • Stock ownership plan, meal allowance, private canteen, and flexible benefits fund.
  • Learning platforms, additional bridge days off, employee assistance program, and discounts on company products.

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