Senior Customer Insight & Product Analytics Engineer

Dyson GmbH; Singapore; On-site; SGD 60,000 - 90,000; Full time

Job summary

Dyson GmbH in Singapore is seeking a curious, evidence-driven professional to join the Product Attributes & Satisfaction Team (PAS). You will conduct customer research, analyse feedback and generate actionable recommendations.

You will work with product analytics, definition and governance to ensure decisions reflect customer needs and drive satisfaction across the product lifecycle.

This role emphasizes cross-disciplinary collaboration and rigorous data-driven decision making.

Qualifications

• Experience in Product Insight, Customer Research, Product Analytics, Product Development, Validation, Systems Engineering, Quality Engineering or related disciplines.
• Experience working with qualitative and quantitative data and insight generation.
• Understanding of research, experimentation and analytical methodologies.
• Strong analytical, critical thinking and problem-solving skills.
• Ability to communicate findings clearly to both technical and non-technical audiences.

Responsibilities

• Conduct customer research, studies and insight investigations.
• Analyse customer feedback, VoC data and market intelligence.
• Identify customer needs, behaviours, satisfaction drivers and improvement opportunities.
• Develop reports and insights that support programme decision making.
• Support development of validation strategies and testing methodologies.
• Governance & Continuous Improvement: support PAS reviews and product decision-making.

Job description

Dyson GmbH in Singapore is seeking a curious, evidence-driven professional to join the Product Attributes & Satisfaction Team (PAS). You will conduct customer research, analyse feedback and generate actionable recommendations.

You will work with product analytics, definition and governance to ensure decisions reflect customer needs and drive satisfaction across the product lifecycle.

This role emphasizes cross-disciplinary collaboration and rigorous data-driven decision making.