Senior Analytics Engineer, 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, Mission or Department Overview 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 a Senior Analytics Engineer, 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 business stakeholders, Data and Insights teams, and Data Platform product managers to gather requirements and translate into effective, user-friendly dashboards, reports, datasets, or artifacts Design and launch enterprise-wide dashboards and data visualization tools to track key enterprise and business metrics, for internal clients, stakeholders, and the executive team Identify opportunities to streamline and automate reports, common business questions, etc. 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 in business intelligence, product analytics, data management, or data governance Proficiency in Python, SQL, and data APIs to work with large, complex datasets across multiple business domains Understand, and prototype scripts to support data pipelines, business rules, quality checks, and general data lifecycle activities Expert with DBT, Airflow, and other ETL/ELT orchestrators Expert with version control (Github, code review) Proficiency with GCP, AWS, or other big data environments Familiarity with business intelligence tools and developing dashboards Knowledge of industry-leading data governance, quality, and data management practices and tools Preferred Qualifications: Expertise with JSON, YAML, relational data modeling, and other data modeling languages and tools Experience working with event-based and behavioral data and instrumentation

REQ-019608

The annual base pay range for this role is between $124,000—$135,000 USD. For roles in the U.S., dependent on your role, you may be eligible for variable pay, such as an annual bonus and restricted stock. Benefits may include medical, dental and vision benefits, Flexible Spending Accounts (F.S.A.s), a company-matching 401(k) plan, paid vacation, paid sick days, paid parental leave, tuition reimbursement and professional development programs. For roles outside of the U.S., information on benefits will be provided during the interview process. We’re excited to learn more about you and your experience. To keep our hiring process as fair and authentic as possible, we ask that you submit your own work and not use GenAI tools to generate substantive content during the application and interview process. If you’re an Engineering candidate, we’ll let you know what specific GenAI tools you are permitted to use for your technical assessment. 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 View email address on click.appcast.io. Emails sent for unrelated issues, such as following up on an application, will not receive a response. The Company encourages those with criminal histories to apply, and will consider their applications in a manner consistent with applicable "Fair Chance" laws, including but not limited to the NYC Fair Chance Act, the Los Angeles Fair Chance Initiative for Hiring Ordinance, the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. For information about The New York Times' privacy practices for job applicants click here. Please beware of fraudulent job postings. Scammers may post fraudulent job opportunities, and they may even make fraudulent employment offers. This is done by bad actors to collect personal information and money from victims. All legitimate job opportunities from The New York Times will be accessible through The New York Times careers site. The New York Times will not ask job applicants for financial information or for payment, and will not refer you to a third party to do so. You should never send money to anyone who suggests they can provide employment with The New York Times. If you see a fake or fraudulent job posting, or if you suspect you have received a fraudulent offer, you can report it to The New York Times at View email address on click.appcast.io. You can also file a report with the Federal Trade Commission or your state attorney general. #J-18808-Ljbffr Thenewyorktimes