数据与分析负责人
Data & Analytics Lead
远程办公，仅对拉丁美洲的候选人开放
职位描述
tapouts 正在寻找一位数据与分析负责人，以建立指导我们增长、产品和辅导运营的分析基础，回答诸如获取客户的成本、客户流失的原因以及如何衡量辅导质量等问题。
这是一项需要亲自参与的工作，结合业务和产品分析与分析工程。这不是一个主要关注基础设施的角色，我们希望找到一位既能解决模糊的业务问题，又能编写 SQL 和构建数据模型的人。
你将负责：
- 建立核心指标（获取、激活、留存、流失、CAC 和生命周期价值）的清晰、共享定义
- 构建跨营销、支付、产品活动、辅导会话和取消的客户旅程统一视图
- 开发留存和流失分析，识别客户离开的时间和原因
- 创建评估辅导质量的框架，包括结果、参与度和满意度
- 构建并维护干净、文档齐全的分析数据模型和面向决策的仪表盘
- 识别跟踪和数据质量中的缺口，与工程和业务团队合作解决这些问题
- 与增长、产品、运营和辅导领导层合作，将业务问题转化为可衡量的分析
成功的表现是：
在前三个月内，你将：
- 理解并记录 tapouts 的主要数据源和客户旅程
- 让组织在最重要的业务指标定义上达成一致
- 提供获取、留存、流失和辅导活动的可靠初步视图
- 至少产出一项影响重要业务决策的分析
在六到十二个月内，你将：
- 建立公司内广泛使用的可信分析数据基础
- 为领导层提供 CAC、留存率、生命周期价值和单位经济的可靠洞察
- 构建公平且可操作的框架，用于衡量和提升辅导质量
我们寻找：
- 在产品分析、业务分析、分析工程或类似实际数据角色方面有丰富经验
- 高级 SQL 技能，有从多个系统中处理不完美数据的经验
- 强大的业务判断力——能够将模糊的问题转化为可衡量的分析
- 有客户漏斗、群体分析、留存、流失等方面的经验
查看英文原文
Location: Remote, only open to candidates based in Latin America**
About the Role
tapouts is looking for a Data & Analytics Lead to build the analytical foundation guiding our growth, product, and coaching operations, answering questions like what it costs to acquire a customer, why customers churn, and how we measure coaching quality.
This is a hands-on role combining business and product analytics with analytics engineering. This is not primarily an infrastructure role, we're looking for someone as comfortable investigating an ambiguous business question as they are writing SQL and building a data model.
What You'll Do
- Establish clear, shared definitions for core metrics: acquisition, activation, retention, churn, CAC, and lifetime value
- Build a unified view of the customer journey across marketing, payments, product activity, coaching sessions, and cancellations
- Develop retention and churn analyses that identify when and why customers leave
- Create a framework for evaluating coach quality, incorporating outcomes, engagement, and satisfaction
- Build and maintain clean, documented analytical data models and decision-oriented dashboards
- Identify gaps in tracking and data quality, partnering with engineering and business teams to resolve them
- Partner with growth, product, operations, and coaching leadership to turn business questions into measurable analyses
What Success Looks Like
Within your first three months, you will:
- Understand and document tapouts major data sources and customer journey
- Align the organization on definitions for its most important business metrics
- Deliver a reliable initial view of acquisition, retention, churn, and coaching activity
- Produce at least one analysis that changes or informs an important business decision
Within six to twelve months, you will:
- Establish a trusted analytical data foundation used across the company
- Give leadership reliable visibility into CAC, retention, lifetime value, and unit economics
- Build a fair and actionable framework for measuring and improving coaching quality
What We're Looking For
- Strong experience in product analytics, business analytics, analytics engineering, or a similarly hands-on data role
- Advanced SQL skills and experience working with imperfect data from multiple systems
- Strong business judgment — the ability to translate ambiguous questions into measurable analyses
- Experience with customer funnels, cohort analysis, retention, churn, segmentation, CAC, and lifetime value
- Experience building analytical data models in a modern data warehouse
- Comfort operating independently in an early-stage environment with limited existing data infrastructure
Nice to Have
- Experience with subscription, marketplace, education, coaching, or consumer services businesses
- Familiarity with Python, dbt (or comparable transformation tools), and modern BI platforms
- Experience as an early or first data hire
Who Thrives in This Role
You're naturally curious about customers and the business behind the data. When someone asks for a dashboard, you first ask what decision they're trying to make. You move easily between detailed technical work and conversations with company leaders, and you enjoy creating structure where little currently exists.
Originally posted on Himalayas