高级分析工程师,数据平台
Senior Analytics Engineer, Data Platform
The New York Times 的使命是追求真相并帮助人们理解世界。这意味着独立新闻报道是我们公司所有工作的核心。这就是为什么我们拥有一个享誉全球的新闻编辑室,派记者前往近 160 个国家进行实地报道。这也是为什么我们深入关注读者从印刷品到音频,再到世界级的数字和应用平台如何体验我们的新闻报道。这也是为什么我们的商业战略以打造高质量的新闻内容为核心,使其值得付费。
职位简介、部门概述
我们正在寻找具备分析能力的人才,将数据经验与对世界级新闻报道的支持转化为决策洞察力。作为数据与洞察组(DIG)和数据平台的一部分,你将加入一个由优秀数据专业人士组成的大型社区,与业务中的产品、工程和设计团队合作。你将专注于支持我们的企业合作伙伴,并向我们的数据分析工程执行总监汇报。
职责:
- 在一个高影响力、高可见度的岗位上,独立领导工作流,构建下一代数据基础,为高管日常依赖的核心企业报告数据集提供支持
- 你将成为我们订阅数据的领域专家,将我们的需求转化为技术实现,并指导团队成员掌握该领域知识
- 你将设计可重用的业务逻辑和数据流水线,使其他分析师和合作伙伴能够快速回答问题
- 你将开发数据模型、数据契约、警报、上下文和指标/语义层,支持传统和人工智能辅助的分析用例
- 展现对新闻独立性的价值认同,以及对追求真相并帮助人们理解世界的强烈承诺
基本要求:
- 5 年以上分析工程、数据工程、产品分析或类似数据密集型岗位的经验
- 精通 SQL、DBT 和数据转换流程
- 精通 Python,用于 ETL 和分析用例
- 具备向客户和其他合作伙伴传达更新和解决方案的经验;你将与注重业务的合作伙伴和注重平台的工程师合作
- 熟悉 GCP/BigQuery、Databricks/Spark、AWS、Snowflake 或其他云数据环境
优先考虑:
- 1 年以上与 billi
查看英文原文
The mission of The New York Times is to seek the truth and help people understand the world. That means independent journalism is at the heart of all we do as a company. It’s why we have a world-renowned newsroom that sends journalists to report on the ground from nearly 160 countries. It’s why we focus deeply on how our readers will experience our journalism, from print to audio to a world-class digital and app destination. And it’s why our business strategy centers on making journalism so good that it’s worth paying for.
About the Role, Mission or Department Overview
We are looking for analytical talent to turn experience with data and support of world-class journalism into decision-making insights. As part of the Data and Insights Group (DIG) and Data Platforms, you will join a large community of accomplished data professionals who partner with Product, Engineering, and Design teams across the business. You will focus on supporting our enterprise partners and report to our Executive Director, Analytics Engineering.
Responsibilities:
- You will independently lead work streams in a high leverage, high visibility role building the next generation of data foundations for our core enterprise reporting datasets that executives depend on daily
- You will be our subject matter expert on our subscription data, translating our needs into technical implementations and mentoring teammates on the domain
- You will design reusable business logic and data pipelines allowing other analysts and partners to answer questions quickly.
- You will develop data models, data contracts, alerting, context, and metrics/semantic layers supporting both traditional and AI-assisted analytical use cases.
- Demonstrate support and understanding of our value of journalistic independence and a strong commitment to our mission to seek the truth and help people understand the world.
Basic Qualifications:
- 5+ years of experience in analytics engineering, data engineering, product analytics or similar data-intensive roles
- Proficiency in SQL, DBT, and data transformation workflows
- Proficiency in Python for ETL and analytics use cases
- Experience communicating updates and resolutions to customers and other partners; you will work with both business-focused partners and platform-focused engineers
- Hands-on familiarity with GCP/BigQuery, Databricks/Spark, AWS, Snowflake, or other cloud data environments
Preferred Qualifications:
- 1+ years of experience working with billing, subscription, and revenue data for a digital subscription product
- 1+ years of experience working with terabyte scale user engagement data for attribution
- 1+ years of experience developing on and contributing to agentic analytics workflows on a data team
REQ-020523
Compensation and Benefits For This Role:
In addition to base salary, this role is also eligible for variable pay, such as an annual bonus and restricted stock. Benefits include medical, dental and vision benefits, Flexible Spending Accounts (F.S.A.s), a company-matching 401(k) plan, employee stock purchase plan, paid vacation, paid sick days, paid parental leave, tuition reimbursement and professional development programs.
The annual base pay range for this role is between:
$124,000—$135,000 USD
Candidate Use of GenAI Tools:
We’re excited to learn more about you and your experience. To keep our hiring process as fair and authentic as possible, we ask that you submit your own work and not use GenAI tools to generate substantive content during the application and interview process.
If you’re an engineering candidate, we’ll let you know what specific GenAI tools you are permitted to use for your technical assessment.
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