Analytics Engineer II, Data Platform

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: The Data Platform Mission aims to empower the organization to access and use data to answer important questions, power user experiences, and to make strategic decisions that drive value and impact across the organization. We are looking for Analytics Engineers that can help develop a new function within Data Platform that focuses on supporting our most critical data assets across The New York Times data domains. You will partner with many different teams and roles to develop data products, capabilities, and technologies. This role is based in our New York City office in Times Square. As an Analytics Engineer II, you'll work with teams across the organization to manage, support, and improve the quality of data across specific organizational domains that help to make data-driven decisions and experiences as efficient as possible. You will develop deep expertise within specific data domains, being a subject matter expert for the business and being an important partner across data initiatives. You will report to the Executive Director of Analytics Engineering. Responsibilities: Data Platform Evangelist Provide frameworks, training, and guidance to individuals across the organization to utilize data platform capabilities or to submit well-defined data needs and requests Establish data management frameworks that provide clear recommendations and requirements for data producers, while also working with data platform team to integrate into capabilities Embed and work closely with data platform teams to build out governance into core capabilities Data Quality Create and maintain data quality frameworks, definitions, and metrics that are consistently applied across data domains, products, and key data assets Define and test business logic to identify and surface domain-specific quality measures in conjunction with other data teams, that can be passed to data platform teams to implement once validated Establish a process to implement, track, and ensure data quality frameworks are adhered to Proactively monitor, surface, triage and track key data issues for data products and systems that provide visibility for data producers and data consumers to react accordingly, including the development of enterprise dashboards Partner with data engineering teams to test and build out capabilities that promote quality, including data lineage, testing frameworks, writing quality checks, etc. Domain Support Maintain, update, and evolve our enterprise data and metrics catalogs Ensure the accuracy, completeness, consistency, and reliability of data within assigned domains Collaborate with various teams to understand domain needs, prioritize initiatives, maintain data models, and oversee the implementation of data governance standards Continuously improve data quality, identifies issues, and develops solutions to comply with regulatory requirements Document data management standards and supports business data stewards Identify and resolve data issues and risks within the domain Monitor domain maturity index with KPIs of data governance, quality, integration, security, and analytics Develop domain-specific documentation such as Data Use Cases and Data Flow Diagrams Provide support and training to the business regarding data governance and modeling Analytics Enablement Work closely with data platform to pilot, test, and build out user-friendly ways to consume data products Collaborate with busi ... (truncated, view full listing at source)