Senior Analytics Engineer: Shape Enterprise Data

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 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