Data Operations Analyst (Big Data)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
TL;DR
Data Operations Analyst (Big Data): Executing sample management and statistical operations processes with an accent on data quality, accuracy, and process standardization. Focus on identifying automation opportunities, coordinating with cross-functional teams, and monitoring performance KPIs to ensure timely delivery of client insights.
Location: Subang Jaya, Malaysia
Salary: MYR 3,200 – MYR 4,000 monthly
Company
NIQ is a global consumer intelligence company providing comprehensive insights into consumer buying behavior through advanced analytics and state-of-the-art platforms.
What you will do
- Execute and monitor statistical operations tasks, including sample maintenance and data quality checks.
- Identify and implement process improvements and automation opportunities.
- Coordinate with cross-functional teams to collect information and drive data quality.
- Prepare and track KPIs to monitor on-time delivery and data accuracy.
- Manage ad-hoc project work and maintain task discipline.
- Liaise with stakeholders in a virtual, multi-cultural environment.
Requirements
- Bachelor’s degree in Statistics, Mathematics, Computer Science, or related field.
- Minimum of 1 year of relevant working experience.
- Proficiency in Excel is mandatory.
- Strong analytical skills and aptitude for data and operational processes.
- Fluency in English (speaking and writing).
- Experience with SQL and Python is required.
Nice to have
- Experience with R programming.
- Strong project management aptitude (critical path, task sequencing).
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 →