Customer Engagement Analyst

Join unitQ as a Customer Engagement Analyst, where you'll be the technical and analytical backbone for our largest enterprise accounts. This early-career role is the on-ramp to our Customer Engagement Manager track, allowing you to build a career in enterprise customer success. You'll work closely with senior Customer Engagement Managers, our engineering team, and customer-side stakeholders, owning the platform layer of enterprise accounts and running analyses that drive decisions. You'll also build artifacts for customer-facing moments and partner cross-functionally with engineering and product.

• Configurer la plateforme unitQ pour les comptes d'entreprise, y compris la configuration des balises AI, des structures de taxonomie, des filtres, des tableaux de bord, etc.
• Réaliser des analyses qui influencent les décisions, y compris le travail sur les cohortes et les sous-thèmes, les enquêtes sur les anomalies et les rapports de tendance.
• Construire des artefacts qui sont présentés aux clients, y compris la couche technique et de données des présentations pour les QBR, les orientations exécutives, etc.

• You should be goal-oriented, highly organized, and a self-starter who works well independently or in a team environment
• Curiosity about how customer feedback works at scale — why categorization matters, how sentiment is measured, how text analytics produces business signal
• 1–4 years of experience in a technical, analytical, or customer-facing role — customer success, technical support, implementation, customer operations, or data & analytics backgrounds all welcome
• Service mindset. The work supports senior CEMs and customer-side teams; the role thrives on making the team more effective
• Strong written communication. You can take a complex analysis and turn it into a single paragraph an executive will actually read
• Demonstrated enthusiasm for understanding and applying AI, model-based, and manual solutions to client problems
• Self-driven with the ability to independently manage tasks and projects
• Comfort with structured data. Spreadsheets, basic SQL or query languages, and the ability to learn new analytical tools quickly
• Bias toward producing artifacts. You finish things — decks, analyses, configurations — rather than just having opinions about them
• Prior experience with feedback platforms (Qualtrics, Medallia, Zendesk), survey design, or text analytics
• Prior experience or knowledge of AI tools, MCP, LLM-based workflows, or machine learning
• Prior experience working at a technology company or start-up environment
• Exposure to enterprise SaaS or B2B environments where customer relationships are measured in years, not weeks