DATA ANALYST at NielsenIQ

Kuala Lumpur, Kuala Lumpur, Malaysia -

Full Time

Start Date

Immediate

Expiry Date

01 Jul, 26

Salary

0.0

Posted On

02 Apr, 26

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Python, Data science, Statistics, Data visualization, PowerBi, Automation, Market research, Problem-solving, Communication, Data analysis, Machine learning, Web scrapping, Marketing analytics, Consumer behavior analysis, Microsoft Office

Industry

Software Development

Description

Company Description As the world's largest research organization, NIQ 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, develop complex analysis and delivery of data insights to measure what consumers buy. Job Description 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. Accompany senior leaders meet with clients to understand business needs and help offer innovative solutions. Work on creating innovative solutions, use cases, proof of concept and prototypes by exploring diverse data sets using tools such as Python. Understand Nielsen products and services to suggest innovative 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. About you You have dabbled in data. You have perused Python. And you have the communication chops to translate it all into conversation or presentations. While you have 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. You know what is happening in big data and you are ready to influence what is next. Qualifications Qualifications Mandarin fluency is a must Professionals with degrees (either Bachelor/Master) in Math's, Data Science, Statistics, or related fields involving statistical analysis of large data sets. 1 year of experience in market research or relevant fields, however, open for fresh graduate. Intermediate levels proficiency with Python Implementation experiences on automation of processes Basic knowledge with data visualization tools (e.g., PowerBi) and mapping tools. Problem-Solving skills Ability to effectively convey complex concepts to non-experts Intellectual curiosity and persistence to find answers to questions Eager to continuously learn and adapt to changing technologies and tools. Good command of written and spoken English. Good collaborative and interpersonal skills to communicate at all levels. Working knowledge with collaboration tools such as Microsoft Office (Word, Outlook, PowerPoint, Excel, Power BI) Additional Information Good to Have Knowledge of Machine Learning /Web scrapping Up to date with technology and active user of eCommerce platforms Familiarity with Atlassian, Git, Bitbucket and Confluence Familiarity with marketing analytics, including designing experiments and consumer behavior analysis. Our Benefits Flexible working environment Volunteer time off LinkedIn Learning Employee-Assistance-Program (EAP) NIQ may utilize artificial intelligence (AI) tools at various stages of the recruitment process, including résumé screening, candidate assessments, interview scheduling, job matching, communication support, and certain administrative tasks that help streamline workflows. These tools are intended to improve efficiency and support fair and consistent evaluation based on job-related criteria. All use of AI is governed by NIQ’s principles of fairness, transparency, human oversight, and inclusion. Final hiring decisions are made exclusively by humans. NIQ regularly reviews its AI tools to help mitigate bias and ensure compliance with applicable laws and regulations. If you have questions, require accommodations, or wish to request human review were permitted by law, please contact your local HR representative. For more information, please visit NIQ’s AI Safety Policies and Guiding Principles: https://www.nielseniq.com/global/en/ai-safety-policies. About NIQ NIQ is the world’s leading consumer intelligence company, delivering the most complete understanding of consumer buying behavior and revealing new pathways to growth. In 2023, NIQ combined with GfK, bringing together the two industry leaders with unparalleled global reach. With a holistic retail read and the most comprehensive consumer insights—delivered with advanced analytics through state-of-the-art platforms—NIQ delivers the Full View™. NIQ is an Advent International portfolio company with operations in 100+ markets, covering more than 90% of the world’s population. For more information, visit NIQ.com Want to keep up with our latest updates? Follow us on: LinkedIn | Instagram | Twitter | Facebook Our commitment to Diversity, Equity, and Inclusion At NIQ, we are steadfast in our commitment to fostering an inclusive workplace that mirrors the rich diversity of the communities and markets we serve. We believe that embracing a wide range of perspectives drives innovation and excellence. All employment decisions at NIQ are made without regard to race, color, religion, sex (including pregnancy, sexual orientation, or gender identity), national origin, age, disability, genetic information, marital status, veteran status, or any other characteristic protected by applicable laws. We invite individuals who share our dedication to inclusivity and equity to join us in making a meaningful impact. To learn more about our ongoing efforts in diversity and inclusion, please visit the https://nielseniq.com/global/en/news-center/diversity-inclusion

Responsibilities

The Data Analyst will own data science solutions for client requests and support internal and external clients with methodology understanding. They will also collaborate with team units to automate processes and develop innovative solutions using diverse data sets.