[Online-HCM] Tập Đoàn Nghiên Cứu Thị Trường Đa Quốc Gia NielsenIQ Tuyển Dụng Analyst - Predictive Analytics/Business Intelligence Full-Time 2024Tập Đoàn Nghiên Cứu Thị Trường Đa Quốc Gia NielsenIQ

Company Description
We show the world what people want.
Join GfK and help us shape tomorrow. As an NIQ company, we are the world's leading consumer intelligence firm, delivering the Full ViewTM on consumer behavior. We work to enable manufacturers and retailers better understand what consumers really want. Our name has inspired trust for over 89 years because we take pride in discovering new pathways to sustainable growth for our clients, our people, and our planet.
We are always looking for open-minded people who will grow with us, push boundaries, and pioneer disruptive methods in market research, data science, technology, and AI. If you share this passion to drive things forward and the integrity to insist on doing things the right way, we'll equip you to take your future into your own hands and play a leading role in our story.
Job Description
ABOUT THIS JOB
As the world's largest research organization, NielsenIQ is powered by talented creative scientists. Our Data Scientist Business Leaders come from diverse disciplines such as statistics, research methodology, mathematics, psychology, business, engineering, physics and demography. These professionals drive innovation, new product ideation, develops complex analysis and delivery of data insights to measure what consumers buy.
Responsibilities
Own Data Science solutions for client requests and provide initial recommendations for complex client raised issues
Support Internal and External Clients with the understanding of Data Science design and methodology
Accompanied senior leaders meet with clients to understand business needs and help offer innovative solutions
Work on creating new solutions use cases, proof of concept and prototypes by exploring diverse data sets using tools such as python/r
Understand NielsenIQ products and services to suggest new solutions for client challenges
Collaborate with other Data Science team units
Automate and develop solutions for existing processes
Innovate and create out of the box solutions by leveraging large and diverse data sets and state of the art technologies
Qualifications
A LITTLE BIT ABOUT YOU
You've dabbled in data. You've perused Python. And you have the communication chops to translate it all into conversation or presentations. While you've worked with global cross-functional teams, you can also put your head down and focus on independent projects. Seeing the big picture takes attention to detail. Keeping up with the fast-changing world of digital media measurement takes someone who recognizes that. You know what's happening in big data and you're ready to influence what's next.
Qualifications
Professionals with degrees in Maths, Data Science, Statistics, or related fields involving statistical analysis of large data sets
0-3 years of experience in market research or relevant field
Solid understanding of Statistics
Good aptitude for data analysis
Critical/ logical thinking
Experienced with programming languages such as Python and R
Familiar with contemporary database systems
Passionate about innovation and technology
Problem-Solving skills
Ability to effectively convey complex concepts to non-experts
Working knowledge with data visualization tools (e.g. Spotfire, Tableau, etc) and mapping tools would be a plus
Working knowledge with collaboration tools such as Google Suite(Googlesite, Google Data Studio), Atlassian, Git, Bitbucket and Confluence would be a plus
Familiar with Machine Learning
Familiarity with marketing analytics, including designing experiments and consumer behavior analysis
Additional Information
Benefits:
Exciting work environment that brings people together
Use the latest digital technologies
Ongoing trainings to support your development
Opportunities for personal and professional growth
Great compensation and bonus scheme linked to individual performance and company results
Flexible working hours and home office
Our Benefits
Flexible working environment
Volunteer time off
LinkedIn Learning
Employee-Assistance-Program (EAP)
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