12 дней назад
Quantitative Research Manager, Tech & Durable Industry
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Quantitative Research Manager, Tech & Durable Industry (Quantitative Consumer Research): Leading end-to-end quantitative research projects for technology and durable goods clients with an accent on consumer insights, research design, data analysis, and strategic recommendations. Focus on managing complex methodologies, translating consumer behavior data into growth opportunities, and presenting actionable findings to senior client stakeholders.
Location: Beijing, China
Company
Consumer intelligence company delivering market, retail, and consumer insights through research, analytics, and technology platforms.
What you will do
- Build client relationships, understand business objectives, and translate business questions into research solutions.
- Manage end-to-end quantitative research projects from proposal development through final reporting.
- Design questionnaires and research frameworks for brand tracking, usage and attitude studies, customer experience, product testing, segmentation, advertising evaluation, customer journeys, and market opportunity assessment.
- Analyze consumer research data to identify trends, unmet needs, purchase drivers, and innovation opportunities.
- Develop insight narratives, strategic recommendations, reports, and client presentations.
- Collaborate with operations, analytics, qualitative research, customer success, commercial, local, and regional teams while coaching junior colleagues.
Requirements
- 3–6 years of experience in market research, consumer insights, customer insights, or related consulting roles.
- Strong quantitative research methodology, data interpretation, analytical, and problem-solving skills.
- Experience independently managing research projects and client interactions.
- Ability to translate research findings into actionable business recommendations and communicate insights through presentations and storytelling.
- Proficiency in Excel and PowerPoint; experience with SPSS, Q, Tableau, Power BI, or similar analytics tools is a plus.
- Excellent verbal and written communication skills in both English and Chinese.
Nice to have
- Experience in technology, consumer electronics, durable goods, telecommunications, digital services, or related industries.
- Experience with SPSS, Q, Tableau, Power BI, or other analytics tools.
Culture & Benefits
- Flexible working environment.
- Volunteer time off.
- LinkedIn Learning access.
- Employee Assistance Program.
- AI-supported recruitment processes are subject to fairness, transparency, and human oversight; final hiring decisions are made by humans.
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