Customer Engagement Analyst, unitQ

• You should be goal-oriented, highly organized, and a self-starter who works well independently or in a team environment
• 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
• Strong written communication. You can take a complex analysis and turn it into a single paragraph an executive will actually read
• Comfort with structured data. Spreadsheets, basic SQL or query languages, and the ability to learn new analytical tools quickly
• Curiosity about how customer feedback works at scale — why categorization matters, how sentiment is measured, how text analytics produces business signal
• Bias toward producing artifacts. You finish things — decks, analyses, configurations — rather than just having opinions about them
• Service mindset. The work supports senior CEMs and customer-side teams; the role thrives on making the team more effective
• Self-driven with the ability to independently manage tasks and projects
• Demonstrated enthusiasm for understanding and applying AI, model-based, and manual solutions to client problems

Desirable

• We're looking for a Customer Engagement Analyst to join our Customer Engagement team and become the technical and analytical backbone behind some of unitQ's largest enterprise accounts
• This is the on-ramp into our Customer Engagement Manager (CEM) track — an early-career role designed for someone who wants to build a career in enterprise customer success and is willing to start by becoming exceptional at the craft: configuring the unitQ platform, running the analyses, building the artifacts, and learning how enterprise companies actually use customer signal at scale
• You will work alongside our most senior Customer Engagement Managers, supporting accounts that operate at executive altitude. The work is technical, analytical, and consequential
• You will work closely with Customer Engagement Managers, our engineering team, and customer-side stakeholders ranging from analysts to senior leadership
• Own the platform layer of enterprise accounts — including AI tag configuration, taxonomy structures, filters, dashboards, source enrichment, and the replays and re-categorizations that keep the platform reflecting the most current customer reality
• Run the analyses that drive decisions — cohort and subtopic work, anomaly investigations, and trend reports that anchor QBRs, executive briefings, and renewal narratives
• Build the artifacts that go in front of customers, including the technical and data layer of meeting decks for QBRs, executive steerings, and POC checkpoints
• Show up in customer-facing moments as the technical voice on the unitQ side — joining working sessions, training end-users, and handling first-line technical questions before they need to escalate
• Partner cross-functionally with engineering and product to surface ingestion issues, sentiment shifts, and feature requests sourced from your accounts, translating customer needs into action engineering can take
• Contribute to the broader Customer Engagement team through account playbooks, AI-assisted workflow templates, and internal knowledge sharing