Senior Customer Insights Analyst – Automotive (A15614)

Xiaomi Technology; München; Vor Ort; EUR 50.000 - 75.000; Vollzeit

Zusammenfassung

A leading technology company is seeking a User Researcher to ensure customer-centric product development. The role will involve conducting studies, analyzing feedback, and providing insights to enhance product features and user experience. Candidates should have a background in relevant fields and strong analytical skills.

Qualifikationen

• 3–5+ years in user research or customer analytics.
• Experience in the automotive or consumer sector.
• Proficient in qualitative and quantitative analysis tools.

Aufgaben

• Plan and run customer clinics and usability studies.
• Analyze customer feedback using qualitative and quantitative methods.
• Create actionable insights for product and UX teams.

Kenntnisse

Data interpretation

User experience research

Qualitative analysis

Quantitative analysis

Communication

Ausbildung

Background in Psychology

Degree in UX Research

Market Research qualifications

Tools

Qualtrics

SPSS

Dovetail

Jobbeschreibung

Ensure customer-centric product development through deep understanding of current user preferences, pain points, and expectations via structured feedback loops.

Key Responsibilities :

1. Plan and run customer clinics, usability studies, and feedback surveys on product features, design, and experience.
2. Collect, analyse, and interpret customer feedback using both qualitative and quantitative methods.
3. Create actionable insights to guide product and UX teams throughout development phases.
4. Maintain user personas and customer journey maps based on validated data.
5. Coordinate with external research agencies and internal stakeholders.

Minimum Requirements :

1. Background in Psychology, UX Research, Market Research, or similar.
2. 3–5+ years in user research, customer analytics, or insight generation in the automotive or consumer sector.
3. Proficient in tools like Qualtrics, SPSS, Dovetail, or similar.
4. Strong communication and data interpretation skills.

Note: Please attach your CV in English.