服务台平台分析师
Service Desk Platform Analyst
我们是一家企业应用提供商，运营着一个24/7服务台，为全球客户提供支持。我们目前使用Intercom来驱动自动化支持。我们正在寻找一位具有分析思维、注重流程且技术好奇的分析师，帮助扩大我们的自动化覆盖范围，同时提升客户情绪。
该职位设有结构化的12个月职业发展路径：
第1-6个月（基础支持阶段）：作为一线服务台员工紧密工作。您将处理客户工单，掌握我们的支持流程，并深入了解我们的复杂企业软件产品。
第6个月后（AI优化阶段）：转入专注于优化的专业角色。您将利用数据和实际产品洞察，扩展我们的Intercom Fin AI代理，并持续提高自动化工单解决率。
主要职责：
第一阶段：工单精通与产品探索（第1-6个月）
- 通过Intercom收件箱提供清晰的一线应用支持。
- 管理工单队列，严格按照SLA优先处理任务。
- 记录事件生命周期，为内部交接和班次连续性创建无瑕疵的上下文层。
- 在日常支持中发现重复的客户痛点和代码行为趋势。
第二阶段：Intercom Fin AI代理优化（第6个月起）
- 审计内容缺口：积极利用Intercom的内容缺口建议和AI驱动的推荐，针对Fin的使用场景重写、重构和优化帮助中心文章。
- 实现复杂路径：利用Intercom流程构建精确的自定义答案和多步骤工作流，安全地处理对话任务而无需人工介入。
- 优化Fin指导与升级：维护自然语言的升级指导和结构化策略，确保Fin在愤怒或高度特定的二级场景中平稳过渡到人工，即时保护客户体验分数。
- 性能分析：监控Fin AI代理仪表板，隔离不良交互（客户体验分数1-2），执行每周优化循环。
所需技能和经验
- Intercom专业知识（或类似平台）：直接的实践经验，包括维护帮助中心、构建工作流或管理AI代理配置。
- - 分析引擎：能够审查非结构化聊天记录，识别系统逻辑缺陷，并将数据趋势转化为操作调整的能力。
- - 快速学习能力：能够在短时间内掌握新工具和流程，适应快速变化的工作环境。
查看英文原文
We are an enterprise application provider operating a 24/7 Service Desk supporting global
customers. We are currently utilizing Intercom to power our automated support. We are seeking
an analytically minded, process-driven, and technically curious analyst to help scale our automation footprint while elevating customer sentiment.
This role features a structured 12-month career progression:
Months 1–6 (Foundational Support Phase): Work closely as a frontline Service Desk agent. You
will handle customer tickets, master our support workflows, and build an intimate knowledge of
our complex enterprise software product.
Month 6+ (AI Optimisation Phase): Transition into a specialist role focused on optimisation. You
will use data and hands-on product insights to scale our Intercom Fin AI Agent and continuously
improve automated ticket resolution rates.
Key Responsibilities:
Phase 1: Ticket Mastery & Product Discovery (Months 1–6)
- Provide clear first line application support via the Intercom Inbox.
- Manage the ticket queue, prioritizing tasks strictly in accordance with SLAs.
- Document incident lifecycles to create a flawless context layer for internal handovers and shift continuity.
- Spot repeating customer friction points and code behavior trends during daily support.
Phase 2: Intercom Fin AI Agent Optimization (Month 6 Onwards)
- Audit Content Gaps: Actively leverage Intercom’s Content Gap Suggestions and AI powered recommendations to rewrite, restructure, and optimize Help Centre articles specifically for Fin consumption.
- Implement Complex Paths: Build precise Custom Answers and multi-step workflows utilizing Intercom Procedures to handle conversational tasks safely without human touchpoints.
- Refine Fin Guidance & Escalations: Maintain natural-language Escalation Guidance and structured policies to ensure Fin transitions angry or highly specific tier-2 scenarios smoothly to humans, instantly protecting the CX score.
- Performance Analysis: Monitor the Fin AI Agent Dashboard, isolating bad interactions (CX
Score 1–2) to execute weekly optimization loops.
Required Skills and Experience
- Intercom Expertise (or similar platform): Direct hands-on experience in maintaining Help Centres, building Workflows, or managing AI Agent configurations.
- - Analytical Engine: Demonstrable talent for examining unstructured chat transcripts, identifying system logic flaws, and converting data trends into operational adjustments.
- - Rapid Technical Learner: Exceptional cognitive agility with a record of mastering complex software ecosystems quickly.
- Language & Communication: Flawless spoken and written English skills, plus fluency in at least one additional language.
- - Operational Adaptability: Ready to support 24/7 rotating shift requirements to capture
global data points.
Originally posted on Himalayas