Data Analyst (Python)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
TL;DR
Data Analyst (Python): Developing and automating data science solutions for client requests with an accent on statistical analysis and data visualization. Focus on exploring diverse datasets, creating prototypes, and translating complex insights for internal and external stakeholders.
Location: Must be based in Kuala Lumpur, Malaysia
Company
is the world’s leading consumer intelligence company, providing a complete understanding of consumer buying behavior through advanced analytics and state-of-the-art platforms.
What you will do
- Own data science solutions for client requests and provide actionable recommendations.
- Support clients by explaining data science design and methodology.
- Collaborate with senior leaders to understand business needs and offer innovative solutions.
- Develop prototypes and proof-of-concepts using Python to explore diverse datasets.
- Automate existing processes to improve efficiency.
- Collaborate with cross-functional data science units.
Requirements
- Mandarin fluency is a must.
- Bachelor or Master degree in Math, Data Science, Statistics, or related fields.
- Intermediate proficiency with Python.
- Experience with process automation and data visualization tools like PowerBI.
- Good command of written and spoken English.
- Ability to effectively convey complex concepts to non-experts.
Nice to have
- Knowledge of Machine Learning and Web scraping.
- Familiarity with marketing analytics, experimental design, and consumer behavior.
- Experience with Atlassian, Git, Bitbucket, and Confluence.
- Active user of eCommerce platforms.
Culture & Benefits
- Flexible working environment.
- Access to LinkedIn Learning for professional development.
- Employee Assistance Program (EAP).
- Volunteer time off.
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 →