Analyst at NielsenIQ

Shanghai, Shanghai, China -

Full Time

Start Date

Immediate

Expiry Date

01 Mar, 26

Salary

0.0

Posted On

01 Dec, 25

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Statistics, Python, Machine Learning, Analytical Skills, Problem-Solving Skills, Communication Skills, Project Management, R, VBA, SQL, Power BI, Spark, Pyspark, Arcgis, QGIS, FMCG, Retail

Industry

Software Development

Description

Job Description Job Summary Responsible for executing technical and statistical aspects of modeling and analytical projects and for ensuring that projects are delivered to the high-quality standards and timeline agreed with clients. This role will involve collaborating closely with commercial managers and being responsible for projects with guidance from senior analysts or managers. RESPONSIBILITIES To execute daily modeling work including but not limited to data processing, model adjustment, result validation and ensure that clean, robust, and meaningful results are delivered in response to commercial brief. To identify and solve quality and statistical data issues that may arise throughout the course of the project. To manage the technical and statistical parts of analytical products To participate in and contribute to customized projects and the development of innovative solutions to support functional and industry applications. To support commercial teams in the initial project design and answer technical questions that may arise in results presentation to clients. Qualifications BA/BS in statistics/maths related background Being familiar with Python is necessary. Solid statistic knowledge and has capability to design new methodology. Good understanding of frequently used Machine Learning Algorithm (e.g., decision tree, random forest, SVM, XGBOOST, network analysis, etc.) Good analytical skills and problem-solving skills. Effective communication and project management skills are needed. Knowledge with R, VBA, SQL, Visualization tool (e.g. Power BI) would be a plus. Experience using Spark/Pyspark would be a plus. Experience working with large data sets and distributed computing tools (Map/Reduce, Hadoop, Hive, etc.) would be a plus. Experience using Arcgis or QGIS would be a plus. Experience in FMCG / Retail industry would be a plus. Additional Information 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

The Analyst is responsible for executing technical and statistical aspects of modeling and analytical projects, ensuring high-quality standards and timelines are met. This role involves collaborating with commercial managers and managing technical and statistical parts of analytical products.