Get a reply from this employer
Your resume and cover letter, tailored to exactly what they’re hiring for.
BYD Automotive GmbH in Munich seeks a Consumer Insights professional to lead both qualitative and quantitative research across major European automotive markets. You will design studies, manage external agencies, and apply AI and NLP tools to turn data into business recommendations for BEV product and pricing strategies.
You will build systematic social listening, develop segmentation, and deliver dashboards using Power BI.
About BYD Automotive GmbH:
Company Website: https://www.byd.com/de
BYD Automotive GmbH is a subsidiary of BYD in Germany, which is an important part of BYD's international business in response to German customers and radiating the European market. As an essential part of the new energy field, BYD's battery business opening up all links in the entire industrial chain of energy from harvesting to storage, to application. The Blade Battery features high safety, long lifecycle, and high performance. It has been verified by the market and highly recognized by the industry.
A. Consumer Research & Behavioral Insights
Conduct research to understand consumer needs, preferences, purchase motivations, and decision‑making processes across major European automotive markets.
Analyze consumer preferences regarding vehicle pricing, driving range, charging performance, safety, reliability, interior space, digital features and brand perception.
Investigate differences in consumer needs across countries, demographic groups, income levels, household structures and vehicle usage scenarios.
Identify key drivers and barriers influencing the adoption of battery electric vehicles (BEVs).
Develop consumer segmentation frameworks to identify target customer groups with distinct needs, preferences and purchasing behaviors.
Monitor evolving consumer expectations and identify emerging trends relevant to future vehicle development.
B. Quantitative & Qualitative Consumer Research
Independently design and manage consumer research projects, including online surveys, in‑depth interviews, focus groups and other relevant research methods.
Develop research plans covering research objectives, methodology, questionnaire design, sampling strategies and analytical approaches.
Apply advanced research methodologies, such as MaxDiff, Conjoint Analysis and Choice‑Based Conjoint (CBC), to evaluate consumer preferences and willingness to pay.
Analyze consumer trade‑offs between vehicle attributes, product configurations, technology features and pricing options.
Manage external research agencies and fieldwork providers to ensure research quality, data reliability and timely project delivery.
Translate research findings into actionable recommendations for vehicle product definition, feature prioritisation and pricing strategies.
C. Social Listening & Consumer Sentiment Analysis
Continuously monitor consumer discussions across European automotive forums, social media platforms, vehicle owner communities and relevant online channels.
Collect and analyse consumer feedback regarding automotive brands, vehicle models, product features and ownership experiences.
Identify key consumer concerns and pain points related to driving range, charging infrastructure, software, vehicle reliability, after‑sales services and other relevant topics.
Analyse European consumers' perceptions, attitudes, purchase intentions and potential concerns regarding Chinese automotive brands.
Track emerging discussion topics, changes in consumer sentiment and potential product‑related issues.
Develop systematic social listening and consumer sentiment analysis processes to support ongoing consumer insights generation.
Prepare regular reports highlighting consumer feedback, emerging needs and relevant market trends.
D. AI‑Driven Consumer Analytics
Utilise generative AI, natural language processing (NLP) and other digital analytics tools to improve the efficiency and effectiveness of consumer research.
Apply AI‑assisted text analytics to classify and analyse multilingual consumer reviews, interview transcripts and open‑ended survey responses.
Use Python, R or other statistical tools for data cleaning, quantitative analysis, consumer segmentation and behavioural modelling.
Develop reusable AI‑assisted workflows for consumer feedback analysis, trend identification and research reporting.
Validate AI‑generated analytical results to ensure accuracy, reliability and traceability.
Explore opportunities to integrate AI and automation into consumer research and analytics processes.
Support the development of data‑driven approaches to understanding consumer preferences and purchase behaviour.
E. Consumer Insights Reporting & Business Support
Establish and maintain structured databases covering European consumer needs, preferences and purchasing behaviours.
Prepare regular consumer insights reports covering purchasing trends, consumer expectations and vehicle attribute preferences.
Develop consumer insights dashboards using Power BI, Excel or other relevant visualisation tools.
Collaborate with market intelligence, product planning and other business teams to integrate consumer insights with market and competitive analysis.
Provide data‑driven recommendations to support new vehicle product definition, positioning, feature selection and pricing decisions.
Present research findings, key insights and business implications clearly to management and relevant stakeholders.
Market Research, Marketing, Statistics, Economics, Psychology, Data Science, Business Analytics or a related field.
Relevant experience in consumer research, market research, consumer insights or consumer analytics.
Proven ability to independently design and execute quantitative and qualitative consumer research projects.
Solid knowledge of questionnaire design, consumer interviews, statistical analysis and consumer segmentation methodologies.
Strong data analysis skills, including advanced Excel proficiency and practical experience with at least one statistical or analytical tool, such as Python, R, SPSS or similar software.
Familiarity with generative AI tools and demonstrated ability to apply AI to professional research or analytical tasks.
Ability to interpret complex datasets and translate research findings into clear actionable business recommendations.
Strong analytical thinking, problem‑solving skills and attention to detail.
Excellent written and spoken English.
Ability to work independently, manage multiple research projects and collaborate effectively with cross‑functional teams.
Competitive remuneration based on performance and experience.
Opportunities for department and company‑wide team building events.
A chance to contribute to the transition towards zero‑emission transportation and the decarbonisation of the economy.
Location: Germany, Munich
Type of Employment: Full‑time