⛔️ 이 공고는 마감된 공고 혹은 비공개입니다
About the Role
You will work with a global team dedicated to the development of E-Commerce products, a new way to measure how people shop online. We are looking for someone to improve our E-Commerce offerings in South East Asia markets.
Ideally, you should have familiarity with e-commerce data, retailer sourced data and panel sourced data, exposure to business intelligence or market research, and have experience with improving data quality.
Role Description
- Evaluate current E-Commerce Product methodologies to identify opportunities for enhancement
- Deliver on methodology enhancements to E-Commerce products, improving overall quality from client perspective
- Deliver codebase and documentation to local Data Science, Technical and Operations teams
- Prototype as well as support pilot programs to drive innovation.
Qualifications
- Bachelor’s Degree or Doctorate Degree in Data Science, Maths, Statistics or related fields involving statistical analysis of large data sets
- At least 3 or more years experience
- E-Commerce and Consumer related knowledge
- Strong attitude for data analysis and problem-solving skills
- Eager to continuously learn and adopt changing technologies and tools
- Experienced in high-level programming languages (Python preferred)
- Knowledge in SQL, working with queries and large-scale databases
- Excellent statistical and logic skills. Experience in trend analysis, sampling, bias reduction, data aggregation techniques, and model validation techniques
- Strong communication and collaboration skills
- Ability to effectively convey complex concepts to non-experts
- Business acumen, the ability to link client’s needs with the business
Additional Information
Our Benefits
- Flexible working environment
- Health insurance
- Parental leave
- Life assurance
About NielsenIQ
NielsenIQ is a global measurement and data analytics company providing the most complete and trusted view of consumers and markets in 90 countries covering 90% of the world’s population. Focusing on consumer-packaged goods manufacturers and FMCG and retailers, we enable customers to defy what’s possible. How? We combine unparalleled datasets, pioneering technology, and the industry’s top talent to create insights that unlock innovation. Join us and change the landscape.
Learn more at: www.niq.com
Want to keep up with our latest updates? Follow us on: LinkedIn | Instagram | Twitter | Facebook
Our commitment to Diversity, Equity, and Inclusion
NielsenIQ is committed to reflecting the diversity of the clients, communities, and markets we measure within our own workforce. We exist to count everyone and are on a mission to systematically embed inclusion and diversity into all aspects of our workforce, measurement, and products. We enthusiastically invite candidates who share that mission to join us.
We are proud to be an Equal Opportunity/Affirmative Action-Employer, making decisions without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability status, age, marital status, protected veteran status or any other protected class. Our global non-discrimination policy covers these protected classes in every market in which we do business worldwide.
지원하러 가기About the Role
You will work with a global team dedicated to the development of E-Commerce products, a new way to measure how people shop online. We are looking for someone to improve our E-Commerce offerings in South East Asia markets.
Ideally, you should have familiarity with e-commerce data, retailer sourced data and panel sourced data, exposure to business intelligence or market research, and have experience with improving data quality.
Role Description
- Evaluate current E-Commerce Product methodologies to identify opportunities for enhancement
- Deliver on methodology enhancements to E-Commerce products, improving overall quality from client perspective
- Deliver codebase and documentation to local Data Science, Technical and Operations teams
- Prototype as well as support pilot programs to drive innovation.
Qualifications
- Bachelor’s Degree or Doctorate Degree in Data Science, Maths, Statistics or related fields involving statistical analysis of large data sets
- At least 3 or more years experience
- E-Commerce and Consumer related knowledge
- Strong attitude for data analysis and problem-solving skills
- Eager to continuously learn and adopt changing technologies and tools
- Experienced in high-level programming languages (Python preferred)
- Knowledge in SQL, working with queries and large-scale databases
- Excellent statistical and logic skills. Experience in trend analysis, sampling, bias reduction, data aggregation techniques, and model validation techniques
- Strong communication and collaboration skills
- Ability to effectively convey complex concepts to non-experts
- Business acumen, the ability to link client’s needs with the business
Additional Information
Our Benefits
- Flexible working environment
- Health insurance
- Parental leave
- Life assurance
About NielsenIQ
NielsenIQ is a global measurement and data analytics company providing the most complete and trusted view of consumers and markets in 90 countries covering 90% of the world’s population. Focusing on consumer-packaged goods manufacturers and FMCG and retailers, we enable customers to defy what’s possible. How? We combine unparalleled datasets, pioneering technology, and the industry’s top talent to create insights that unlock innovation. Join us and change the landscape.
Learn more at: www.niq.com
Want to keep up with our latest updates? Follow us on: LinkedIn | Instagram | Twitter | Facebook
Our commitment to Diversity, Equity, and Inclusion
NielsenIQ is committed to reflecting the diversity of the clients, communities, and markets we measure within our own workforce. We exist to count everyone and are on a mission to systematically embed inclusion and diversity into all aspects of our workforce, measurement, and products. We enthusiastically invite candidates who share that mission to join us.
We are proud to be an Equal Opportunity/Affirmative Action-Employer, making decisions without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability status, age, marital status, protected veteran status or any other protected class. Our global non-discrimination policy covers these protected classes in every market in which we do business worldwide.
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