Data Scientist at NielsenIQ in Shanghai, SH, China

Job description

• Designation: Data Scientist for NielsenIQ Data Science - Data Science Clients Team
• Scope
• The DC team is at the intersection between Client Team and the Data Science Team. Together, you will actively work with both stakeholders.
• Markets: Greater China and possibly some projects in Asia Pacific Region
• Global/regional/ local: Sub-Regional/Local

Responsibilities

• Data Analyst
• Being the key contact point between data science and commercial teams, helping commercial team to understand the retail products and the methodology behind it.
• Supporting the clients’ business needs and driving internal product enhancement at the same time.
• Analyzing large amounts of data captured by NielsenIQ’s research team to arrive at insights regarding trends as well as opportunities for further study/drilldown.
• Working hand in hand with the client to explain to them the specific aspects of the studies being undertaken and help the client better understand the data in a more intelligible way through a simple, but effective methodology.
• Respond to client questions regarding data irregularities and help the client understand the methodology being employed by NielsenIQ’s statistical tools.
• Create clear insights and examples, either through visualizations or through raw data analysis in order to answer the main question of
• WHY the data is behaving a certain way.
• Engage and align with multiple stakeholders on data requirements as well as in design for new studies.
• Main Accountabilities
• Work closely with key account clients to ensure that their data requirements are satisfied and that they are satisfied with NielsenIQ’s retail analysis methodology.
• Conduct various studies within departments in NielsenIQ for updating, improving and creating new data requirements for the client.
• Understand client requirements and translate them into intelligent insights by creatively using NielsenIQ’s data.
• Contribute to creating best practices for the country/ cluster/ region and sharing them with other data departments
• Improve the product through active inputs and engagement with the Data Science team.

Requirements

• Open
• Eager to face new technical challenges
• Open to changing processes, ways of working, tools, etc.
• Conduct root cause analysis and put together prevention plans in case of issues
• Social
• The person is outgoing. This is important because they must manage several stakeholders at once both internally and externally
• Needs to be able to manage the demands of the client and explain to them aspects of the business in a clear way.
• Good communication skills and love to work with the team and socialize with them.
• Likes to interact with the team and client even outside of the office.
• Integral
• Analyzes data with integrity and honesty. Does not just do a half-hearted job. Will work till the end to understand everything about the problem and solve it.
• Is able to say “I don’t know” or “I don’t understand” to his superior so that he/she may improve constantly.
• Able to work independently without supervision and can be trusted to do the work assigned.
• Creative
• Likes to try out new things, not afraid of failure
• Is passionate about learning new skills, especially in technology.
• Role Requirements (list the critical experience, knowledge, qualifications, skills, and competencies needed to perform this role - over and above standard NielsenIQ leadership and personal effectiveness competencies). Mark each with E=essential, P=preferred.
• E- Excellent at applying Creative solutions to business problems using data and software. This is key. The candidate must have good business sense to solve problems and decent enough knowledge of analytics to present the findings.
• P- Experience with facing clients and discussing with them about solutions will be helpful for the role.
• E- 1-2 years of experience in solving business problems in fields like consumer goods (FMCG), cosmetics or non-perishable items.
• Experience in consulting or market analysis is a plus.
• P- Good knowledge of statistical practices such as sampling, projection and statistical modelling to understand trends.
• P- Bachelor’s degree in Business, Statistics, Operations Research, or Econometrics with outstanding analytical expertise and strong technical leadership
• E- Proficient in Python or R, as well as Excel as a willingness to learn new softwares constantly.
• P-Knowledge of Visualization software such as Tableau or Power BI would help.
• E- Knowledge of SQL or other Database querying tools, and managing large-scale databases is key.
• P- Fluent Mandarin and good English is essential

Skills

Required

• Python or R
• Excel
• SQL or other database querying tools
• Managing large-scale databases
• Good business sense
• Analytics knowledge
• Root cause analysis
• Communication skills
• Stakeholder management
• Independence
• Integrity
• Creativity

Preferred

• Client-facing experience
• Consulting or market analysis
• Fluent Mandarin and good English

Benefits

• 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://nielseniq.com/global/en/info/niqs-ai-safety-policies/