Senior Manager, Data Science at NielsenIQ

Petaling Jaya, Selangor, Malaysia -

Full Time

Start Date

Immediate

Expiry Date

12 Jan, 26

Salary

0.0

Posted On

14 Oct, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Science, Market Research, CPG Industry, Retail Market, eCommerce, Webscraping, Consumer Data, Innovation, Problem-Solving, Leadership, Statistics, Data Analysis, Data Visualization, Python, R

Industry

Software Development

Description

Company Description 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(TM). Job Description Own Data Science for a specific-market/industry on new and already established products, services and design. Be a Data Science business partner for country / cluster leaders, commercial, product, and technology leaders to achieve country specific goals including revenue and EBITDA and other objectives. Regularly meet directly with clients to understand strategic business needs, translate them into analytical strategies and offer innovative solutions driven through state of the art methodologies in Data Science. Support Client and Commercial teams with Data Science design and methodological questions. Play a leading role in the application of data and analytics strategies in support of clients’ business needs. Innovate and create out of the box solutions by leveraging large and diverse data sets and state of the art technologies. Collaborate and align with other Data Science team units to deliver and prioritize objectives. Enable Data Science technology solutions on the ground and ensure solutions meets client needs. Contribute to identifying third parties and evaluate their capabilities and data sets in order to develop new solutions. Design and conduct studies, tests and use advanced analytics techniques to build proof of concept and prototypes for use cases. Enable your team to focus on innovation and contribute to the company's objectives. Coach and develop junior data scientists. Lead the team and provide performance objectives. Qualifications Professionals with degrees in Maths, Data Science, Statistics, or related fields involving statistical analysis of large data sets. 5+ years of experience in market research or relevant field Solid understanding of CPG/FMCG Industry and Retail market impact on client’s business within the market. Work experience on eCommerce, webscraping solutions, consumer sourced data solutions is preferred Soft skills qualifications: Passionate about innovation and technology Experienced connecting with stakeholders and clients proactively, finding ways to link client's needs with the business. Innovative mindset, creativity, thinking out-of-the-box. Good ability to effectively convey complex concepts to non-experts. Strong Problem-Solving skills Intellectual curiosity and persistence to find answers to questions. Great collaborative and interpersonal skills to communicate at all levels. Ability to set priorities. Good leadership skills. Business acumen, consultative skills and empathy for clients. Great command of written and spoken English Eager to continuously learn and adapt to changing technologies and tools. Good ability to make decisions and successfully manage multiple assignments concurrently in a high pressure environment. Good people management skills and coaching. Analytical and Technical skills: Solid understanding of Statistics Strong aptitude for data analysis. Solid critical/ logical thinking. Business acumen, finance and budgeting knowledge Knowledge / familiarity on data visualization tools (e.g. Spotfire, Tableau, etc) and programming languages (Python, R), preferred. Additional Information Exciting work environment that brings people together. Use the latest digital technologies. Ongoing trainings to support your development. Opportunities for personal and professional growth. Hybrid work Our Benefits Flexible working environment Volunteer time off LinkedIn Learning Employee-Assistance-Program (EAP) 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

Own Data Science for specific markets and products while collaborating with various leaders to achieve business goals. Innovate solutions using advanced analytics and large data sets to meet client needs.