Senior Analytics Engineer, Data Platform

Openkrill; United States; Remote; USD 124,000 - 135,000; Full time

Benefits offered by this job

Medical, dental and vision benefits

401(k) plan

Paid vacation and sick days

Paid parental leave

Tuition reimbursement

Job summary

The New York Times Company is seeking an analytical leader to join the Data and Insights Group (DIG) and Data Platforms. You will support enterprise partners and collaborate with Product, Engineering, and Design to turn data experience into decision-making insights, reporting to the Executive Director, Analytics Engineering.

You will own data foundations, mentor teammates, translate business needs into scalable data pipelines and models, and ensure journalistic independence while enabling

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 to customers and partners; you will work with business-focused partners and platform-focused engineers.
• Hands-on familiarity with cloud data environments (GCP/BigQuery, Databricks/Spark, AWS, Snowflake).

Responsibilities

• Lead work streams in a high visibility role building data foundations for enterprise reporting datasets.
• Serve as subject matter expert on subscription data and mentor teammates.
• Design reusable business logic and data pipelines for rapid analytics.
• Develop data models, contracts, alerting, context, and semantic layers for traditional and AI-assisted analytics.
• Demonstrate commitment to journalistic independence and the mission.

Skills

Analytical mindset

Stakeholder communication

Mentoring teammates

Data modeling

Tools

SQL

DBT

Python

GCP/BigQuery

Databricks/Spark

AWS

Snowflake

Job description

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

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

The New York Times Company is committed to being the world’s best source of independent, reliable and quality journalism. To do so, we embrace a diverse workforce that has a broad range of backgrounds and experiences across our ranks, at all levels of the organization. We encourage people from all backgrounds to apply.

We are an Equal Opportunity Employer and do not discriminate on the basis of an individual's sex, age, race, color, creed, national origin, alienage, religion, marital status, pregnancy, sexual orientation or affectional preference, gender identity and expression, disability, genetic trait or predisposition, carrier status, citizenship, veteran or military status and other personal characteristics protected by law. All applications will receive consideration for employment without regard to legally protected characteristics. The U.S. Equal Employment Opportunity Commission (EEOC)’s Know Your Rights Poster is available here.

The New York Times Company will provide reasonable accommodations as required by applicable federal, state, and/or local laws. Individuals seeking an accommodation for the application or interview process should email [e-mail]. Emails sent for unrelated issues, such as following up on an application, will not receive a response.