Description Work Arrangement:

This role is categorized as on-site. This means the successful candidate is expected to report to HQ Building in Shanghai, China full time.

The Role:

Product, S&S, Features and Tech Research Analyst, GM China Customer Research

What You'll Do

• Conduct primary research projects through cross-functional teamwork with Global / JV partners to provide customer research insights to future GM vehicles, software /digital services development process. Conduct quantitative/ qualitative research studies to support future vehicle, software and digital services development timing and decision milestone.
• Host cross functional team /leadership review and drive project timeline / deliverable.
• Lead research methodology design (including study flow, sample plan, questionnaire/mod guide, stimuli, and data modeling, as needed).
• Initiate, Plan, execute tech/feature research studies to discover innovation and differentiation opportunities vis-à-vis software/digital experience of future vehicles, content optimization and WoW/USP scenes creation. Independently perform nuanced data analysis with statistics / AI tools.
• Collaborate with US Product research and conduct COTS studies
• Interpret qualitative data into actionable insights and industry trend.
• English report writing in compliance to GM research standard; Research results communication in an organized and timely fashion.
• Lead China customer research project tracking, documentation in compliance to ILM requirements.
• Provide customer data and insights to support BU strategy discussion. Cross functional teamwork with PPRE, S&S, Design and Program teams.
• Conduct research projects in compliance to GM research methodology guidance and data security protocol.

Your Skills & Abilities (Required Qualifications)

• Excellent in English and Chinese language, both speaking and writing. Proficient in teamworking and communication skills, be able to driver projects through cross-functional collaboration.
• Self-starter, Result driven, be able to drive projects under tight timeline. Proficient in Microsoft Excel and PowerPoint. Familiar with AI tools, SPSS or Sawtooth software are preferred.
• Good knowledge about auto industry, and Minimum 3 years' experience in cross functional team work or data analytical roles. Familiar with vehicle development, software development process, NCBS, m Tab is a plus.
• Bachelor or above degree in Business, Statistics, or Social Science is preferred.

About GM

Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all.

Why Join Us:

We believe we all must make a choice every day - individually and collectively - to drive meaningful change through our words, our deeds and our culture. Every day, we want every employee to feel they belong to one General Motors team.

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Non-Discrimination and Equal Employment Opportunities (U.S.)
General Motors is committed to being a workplace that is not only free of unlawful discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that providing an inclusive workplace creates an environment in which our employees can thrive and develop better products for our customers.

All employment decisions are made on a non-discriminatory basis without regard to sex, race, color, national origin, citizenship status, religion, age, disability, pregnancy or maternity status, sexual orientation, gender identity, status as a veteran or protected veteran, or any other similarly protected status in accordance with federal, state and local laws.

We encourage interested candidates to review the key responsibilities and qualifications for each role and apply for any positions that match their skills and capabilities. Applicants in the recruitment process may be required, where applicable, to successfully complete a role-related assessment(s) and/or a pre-employment screening prior to beginning employment. To learn more, visit How we Hire.

Accommodations
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