Senior Analytics Engineer, People Data and Insights

The New York Times•New York, NY

1d•$160,000 - $185,000•Hybrid

About The Position

The New York Times is rebuilding how it uses people data by creating governed, reusable data tools for HR leaders, HR partners, and their counterparts. The Senior Analytics Engineer will transform people data from multiple systems, each with its own definitions and history, into a modeled, tested, and documented foundation that supports repeatable products. This role leads the models, transformations, and data quality behind the team’s products and reports to the Senior Director, People Data and Insights. The position works from the New York office on a hybrid schedule. The role designs and maintains data models and databases; oversees the transformation layer from source systems into governed models; turns metric definitions into executable logic; builds testing, validation, and reconciliation into data pipelines; and works with a Program Manager to translate product requirements into models. It also ensures effective-dated and historical data support accurate point-in-time reporting, implements access controls for sensitive data, and documents models and lineage. The successful candidate supports journalistic independence and the Times’ mission to seek the truth and help people understand the world.

Requirements

At least 5 years of experience in analytics engineering, data engineering, or an equivalent role building production data models.
Expert-level SQL skills.
Strong dimensional modeling skills and judgment about when to normalize data.
At least 5 years of experience with a transformation framework such as dbt, and with version control and code review as standard practice.
At least 5 years of experience handling slowly changing dimensions, dated records, and point-in-time reporting.

Nice To Haves

At least 2 years of experience with HR or people data and systems such as Workday, Greenhouse, or One Model.
Python experience for orchestration, API work, or data validation.
At least 2 years of experience with AWS data services.
Familiarity with BI and analytics tools such as Hex, Tableau, or Looker.
At least 2 years of experience in an organization with distinct populations operating under different rules, such as union and non-union groups.

Responsibilities

Design, build, and maintain the data models and databases that products run on.
Oversee the transformation layer from source systems into governed, tested, and documented models.
Turn metric definitions from the data dictionary into executable logic so definitions and resulting numbers do not drift apart.
Build data quality into pipelines through tests, validation, and reconciliation across sources, surfacing problems early.
Work with the Program Manager to translate product requirements into models and push back when requirements conflict with the underlying data.
Handle effective-dated and historical data correctly so point-in-time questions receive point-in-time answers.
Implement and maintain access controls appropriate for compensation, demographic, and other sensitive data.
Document models and lineage so people can understand why something was built as it was.
Demonstrate support for journalistic independence and commitment to the mission to seek the truth and help people understand the world.

Benefits

Potential eligibility for variable compensation, such as an annual bonus and restricted stock, depending on role.
Medical, dental, and vision benefits may be available.
Flexible Spending Accounts (F.S.A.s).
Company-matching 401(k) plan.
Employee stock purchase plan.
Paid vacation.
Paid sick days.
Paid parental leave.
Tuition reimbursement.
Professional development programs.