Note: The job is a remote job and is open to candidates in USA. The New York Times is an independent journalism company focused on helping people understand the world. The Senior Analytics Engineer will build data foundations for enterprise reporting, serve as a subject matter expert on subscription data, and develop reusable models, pipelines, metrics, and semantic layers for analytical use cases.
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
Skills
- 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
- 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
Benefits
- Variable pay, such as an annual bonus and restricted stock
- 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
- Professional development programs
Company Overview
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