高级工程情报分析师
Senior Engineering Intelligence Analyst
加入我们,为客户提供愉悦的体验。Five9 是一家领先的云客服中心软件提供商,将云计算创新的力量带给全球客户。
每天践行我们的价值观,塑造了以团队为先的文化,使我们能够一起创新、成长和繁荣。我们重视多样性,营造包容的环境,赋能员工做真实的自己。
**职位概述**
我们正在寻找一位动手能力强的分析工程师,负责构建、维护和提升 Five9 的工程智能平台。你将成为一个不断增长的功能背后的技术引擎,为工程领导层提供数据驱动的见解,覆盖 1000 多个功能和超过 1 亿美元的工程投资。你将使用来自 Jira、Jellyfish、Salesforce 和其他系统的数据,构建自动化流程、交互式仪表盘和分析工具,帮助更快、更明智地做出决策。
这个职位适合那些具备扎实的数据工程基础,并热衷于让数据可访问、可操作的人——一个既享受构建流程,也喜欢打造清晰可视化的人。
**职责**
仪表盘开发与维护(40%)
• 在 Looker(商业智能平台)中构建和维护交互式仪表盘,涵盖功能交付预测、全职等效人员分配、资源冲突和组合健康状况
• 将现有的基于 HTML 的仪表盘迁移到企业级 BI 平台,同时保持并增强分析深度
• 设计直观、自助式的可视化图表,使工程领导无需分析师支持即可探索数据
• 实现警报和异常检测功能,主动揭示风险(例如:功能延期、资源过度分配、过时的工作项)
数据工程与集成(35%)
• 构建和维护集成 Jira(REST API、Structure 导出)、Jellyfish API、Salesforce 和其他内部系统的数据流程
• 使用 Python 和 SQL 提取、转换和加载数据到中央分析数据存储
• 实现数据质量检查、自动化验证和监控,确保数据的准确性和新鲜度
• 优化查询性能和数据模型,实现仪表盘响应时间低于一秒
• 管理所有数据源集成的 API 速率限制、认证、增量同步和错误处理
分析与洞察支持(25%)
• 支持高级管理层准备面向高管的分析报告和洞察资料
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Join us in bringing joy to customer experience. Five9 is a leading provider of cloud contact center software, bringing the power of cloud innovation to customers worldwide.
Living our values everyday results in our team-first culture and enables us to innovate, grow, and thrive while enjoying the journey together. We celebrate diversity and foster an inclusive environment, empowering our employees to be their authentic selves.
**Senior Engineering Intelligence Analyst**
**Role Summary**
We are looking for a hands-on analytics engineer to build, maintain, and evolve Five9's engineering intelligence platform. You will be the technical engine behind a growing function that provides data-driven insights to engineering leadership across a portfolio of 1,000+ features and $100M+ in engineering investment. You will work with data from Jira, Jellyfish, Salesforce, and other systems to build automated pipelines, interactive dashboards, and analytical tools that enable faster, smarter decisions.
This role is ideal for someone who combines strong data engineering fundamentals with a passion for making data accessible and actionable — someone who gets excited about building a pipeline as much as crafting a clear visualization.
**Responsibilities**
**Dashboard Development & Maintenance (40%)**
• Build and maintain interactive dashboards in Looker (BI platform) covering feature delivery predictions, FTE allocation, resource contention, and portfolio health
• Migrate existing HTML based dashboards to the enterprise BI platform while preserving and enhancing analytical depth
• Design intuitive, self-service visualizations that engineering leaders can explore without analyst support
• Implement alerting and anomaly detection to proactively surface risks (e.g., feature slippage, resource over-allocation, stale work items)
**Data Engineering & Integration (35%)**
• Build and maintain data pipelines integrating Jira (REST API, Structure exports), Jellyfish APIs, Salesforce, and other internal systems
• Write Python and SQL to extract, transform, and load data into a central analytics data store
• Implement data quality checks, automated validation, and monitoring to ensure accuracy and freshness
• Optimize query performance and data models for sub-second dashboard response times
• Manage API rate limits, authentication, incremental syncs, and error handling for all data source integrations
**Analysis & Insight Support (25%)**
• Support the Senior Leader in preparing executive-ready analyses and insight decks
• Perform ad-hoc analyses on feature delivery trends, team capacity, engineering investment patterns, and cycle time drivers
• Build reusable analytical templates and frameworks that can be refreshed with new data each cycle
• Document data lineage, calculation methodologies, and dashboard logic for transparency and auditability
**Skills, competencies and qualifications**
**Required**
• Minimum 5 years of experience in analytics engineering, data engineering, business intelligence, or a related technical analytics role
• Strong SQL skills (complex joins, window functions, CTEs, performance optimization)
• Proficiency in Python for data processing (pandas, requests, scheduled jobs)
• Hands-on experience with Looker BI tool including data modeling, dashboard design, and performance optimization
• Experience building and maintaining ETL/ELT pipelines with REST API data sources
• Familiarity with Jira and strong understanding of software delivery lifecycle, Agile methodologies, and how engineering organizations operate
• Strong data visualization skills — ability to design dashboards that tell a clear story, not just display numbers
• Excellent attention to data quality, accuracy, and documentation
**Preferred**
• Experience with Jira APIs, Jira Structure, Atlassian ecosystem at scale
• Familiarity with Jellyfish, or similar engineering management platforms
• Experience with Salesforce data extraction (SOQL, reports API)
• Cloud data platform experience (BigQuery)
• Exposure to engineering metrics (DORA, velocity, cycle time, throughput)
• HTML/JavaScript skills for custom visualizations and rapid prototyping
• Experience in SaaS or enterprise software environments
**Key stakeholders include:**
• Engineering Service Owners
• Engineering Operations, Delivery Managers, Technical Program Managers
• Product Managers and Product Operations
Five9 embraces diversity and is committed to building a team that represents a variety of backgrounds, perspectives, and skills. The more inclusive we are, the better we are. Five9 is an equal opportunity employer.
Five9 is committed to providing reasonable accommodations for qualified individuals with disabilities throughout the application and interview process. If you need assistance or an accommodation due to a disability, please contact us at accommodations@five9.com to request an accommodation. Requests will be handled confidentially and in accordance with applicable law.
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View our privacy policy, including our privacy notice to California residents here: [https://www.five9.com/pt-pt/legal](https://www.five9.com/pt-pt/legal).
Note: Five9 will never request that an applicant send money as a prerequisite for commencing employment with Five9.