The New York Times
At The Times, our mission is to seek the truth and help people understand the world. Having a diverse staff with a broad range of backgrounds and experiences is vital to ensuring we cover the world fully and fairly and offering products that have a wide appeal.
Our vision is to become the essential subscription for every curious person seeking to understand and engage with the world. This work is supported by our journalists and a range of dedicated individuals, from data scientists to marketers, designers, engineers and more.
Our cutting-edge journalism reaches 150 million readers each month, and is produced by journalists reporting on the ground from more than 170 countries.
If you find our mission and vision inspiring, we invite you to apply for any of our open positions. And if you are a current Times employee, please apply on our internal job board.
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Manager, Data and Insights, Growth
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
As part of the Data and Insights Group (DIG), you will join a large community of accomplished data analysts who partner with Product, Engineering, Design, and PMO teams across the business. You will help inform the data and insights strategy for the Subscriber Revenue team as an individual contributor. This team leads innovation in new revenue-generating models for the company, including initiatives like the exploration and launch of our family plan. You will have a direct and quantifiable impact in our subscribers business. You will report to the Executive Director, Growth Analytics.
Responsibilities:
- You will define strategy within your team's problem space and oversee the definition and execution of solutions
- You will present data-oriented analyses to high-level partners to guide team strategy
- You will develop best practices for experiment design, including advising on hypothesis generation, sample size, and counter metrics
- You will deliver test analysis, advice on future tests and next steps
- You will collaborate with product, data science, and tech to bring to life new targeting and insight tools
- You will lead all phases of analytic work: from problem definition to representation of results
- You will produce insights, advocating for them and driving them into action
- You will 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 working with data analytics or data science teams to deliver analysis or a quantitative degree
- Mastery of Proficiency in SQL and experience working with relational databases
- 1+ years of experience with data visualization tools such as Mode, Tableau, or Looker
- 1+ years of experience applying statistics to strategic problems
- You are proficient in Python or R
Preferred Qualifications:
- Familiarity with Google BigQuery, AWS, or other big data environments
- 1+ years of experience with dbt
- Comfort with version control (Github, code review
- 1+ years of experience data modeling
- 1+ years of experience with data visualization tools such as Mode, Tableau, or Looker, Hex)
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Familiarity with using Gen AI–enabled tools for analytics and workflow acceleration (e.g., Claude Code, Cursor, Hex)
REQ-019879
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.
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 reasonable.accommodations@nytimes.com. 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 NYTapplicants@nytimes.com. You can also file a report with the Federal Trade Commission or your state attorney general.
Ready to apply?
Apply to The New York Times
Senior Analyst, Data & Insights, Enterprise Analytics
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 New York Times is looking for a Senior Analyst to join our Enterprise Analytics Team within the Data and Insights Group (DIG).
As part of the Enterprise Analytics team, you will work with teams across DIG, Data Platforms, and Strategy. You will uncover meaningful patterns from our data, automate reporting, create consistent metric definitions, in support of a trustworthy, scalable enterprise data foundation. You will help shape an enterprise-wide view of the journalistic, product and commercial drivers of the business to inform strategy, quarterly earnings and other related deliverables. You will report to the Director, Enterprise Analytics.
Responsibilities:
-
You will collaborate with Strategy teams and DIG counterparts to deliver holistic analyses and performance reporting (slide decks, memos) on audience, engagement, and subscription growth to executives, the Board, and Wall Street
-
You will build and maintain centralized reporting dashboards and automated reports on enterprise metrics, for use by analysts and business stakeholders across the organization
-
You will code in R or Python to analyze data, build visualizations, and create automated reporting infrastructure
-
You will write SQL to build pipelines, reporting architecture, and analyze large datasets.
-
You will 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:
-
2+ years of experience working with data analytics or data science teams to deliver reporting and analysis
-
Proficiency in SQL and experience working with relational databases
-
2+ years of experience in at least one additional scripting language like R or Python
-
1+ years experience with data visualization and presenting insights from data
Preferred Qualifications:
-
1+ years of experience working in big data environments such as BigQuery or dbt, querying 10M+ rows
-
1+ years of experience working in dbt or other data transformation or scheduling tool
-
1+ years of experience with version control (Github, code review)
-
1+ years of experience with subscription or revenue metrics
REQ-019896
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.
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 reasonable.accommodations@nytimes.com. 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 NYTapplicants@nytimes.com. You can also file a report with the Federal Trade Commission or your state attorney general.
Ready to apply?
Apply to The New York Times
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 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:
- 3+ 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-019606
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.
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 reasonable.accommodations@nytimes.com. 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 NYTapplicants@nytimes.com. You can also file a report with the Federal Trade Commission or your state attorney general.
Ready to apply?
Apply to The New York Times
Senior Business Analyst, Data & Insights, NYT Wirecutter
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
NYT Wirecutter is looking for a Senior Business Analyst to lead the analytical narrative across our teams, providing the strategic clarity needed to increase core offerings and new programs. As we expand beyond recommendations into new programs—including the launch and scaling of the e-commerce business —you will be the bridge between raw data and executive action.
Your will translate numbers into a compelling narrative and applicable insights. You won't just report on what happened; you will uncover the why behind the numbers, analyzing internal performance alongside macro trends to determine what those signals mean for the business in the near term. You will report to the Director, Data Analytics and Insights.
Responsibilities:
- Strategic Initiative Leadership: You will be the primary analytical lead for new e-commerce launches, overseeing the business lifecycle from establishing foundational KPIs and data integrity to optimizing commercial performance.
- Performance Diagnostics: You will analyze the customer journey—including conversion funnels, engagement, and lifetime value—to uncover the "why" behind business numbers.
- Business Intelligence and Reviews: You will guide the operating rhythm by summarizing data from newsroom, product, and marketing teams to lead weekly and monthly business reviews for leadership.
- Trend Synthesis: You will correlate internal performance with external macro trends, such as market shifts and benchmarks, to provide an objective view of business health.
- Growth & Partnership: You will collaborate with Finance and Ops to model Return on investment for new projects while being the "analytical glue" between all teams.
- 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:
- Experience: 4+ years as a business analyst, digital strategy, or management consulting role in an e-commerce business, with experience influencing business decisions.
- Proficiency in SQL and data visualization tools (Tableau, Looker, or Mode), with an emphasis on extracting insights rather than just building architecture
Preferred Qualifications:
- 1+ years of experience supporting a digital storefront or physical product launch
- Familiarity with SWOT analysis, P&L management, and customer segmentation.
- 1+ years of experience leading work streams and keeping diverse teams aligned on deadlines.
#LI-Remote
REQ-019611
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.
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 reasonable.accommodations@nytimes.com. 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 NYTapplicants@nytimes.com. You can also file a report with the Federal Trade Commission or your state attorney general.
Ready to apply?
Apply to The New York Times
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
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.
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 reasonable.accommodations@nytimes.com. 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 NYTapplicants@nytimes.com. You can also file a report with the Federal Trade Commission or your state attorney general.
Ready to apply?
Apply to The New York Times
Senior Analyst, Messaging Analytics
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
We are seeking analytical talent to turn passion for data and support of world-class journalism into decision-making insights. As part of the Data and Insights Group (DIG), you will join a large community of accomplished analysts who partner with Product, Engineering, and Design teams across the business. You will be embedded within our platforms teams and report to the Director, Data & Insights.
Responsibilities:
- You will write SQL, Python, DBT code to pipeline and analyze big datasets across multiple domains
- You will develop data models, pipelines, infrastructure, and metrics that create evergreen solutions and support the wider analytics team
- You will design and run A/B tests to quantify the effectiveness & business impact of platform enhancements
- You will perform strategic analysis to advise and influence our platform roadmaps
- You will build data visualizations and dashboards to expand self-service access to our insights
- You will develop insights on our push channel, helping to optimize platform capabilities that drive engagements & revenue
- 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:
- Advanced proficiency in SQL and experience working with cloud based relational databases (such as BigQuery)
- 3+ years of experience working in product analytics, data science or other data teams
- 3+ years of experience with data visualization tools such as Hex, LookML, PowerBI
- 3+ years of experience in at least one additional scripting language like Python, R, or JavaScript (Python preferred)
Preferred Qualifications:
- 1+ years of experience with version control (Github, code review)
- 1+ years of experience with experimentation and other statistical inference methods
- 1+ years of experience working in dbt
- 1+ years of experience working with a data notebook tools like Jupyter Notebooks
- Familiarity with email & push campaigns + product channel analytics.
REQ-019389
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.
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 reasonable.accommodations@nytimes.com. 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 NYTapplicants@nytimes.com. You can also file a report with the Federal Trade Commission or your state attorney general.
Ready to apply?
Apply to The New York Times
Lead Data Taxonomist
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 New York Times is looking for a Lead Data Taxonomist to serve as the architect and steward of our enterprise-wide event taxonomy. The New York Times is home to multiple products across News, Games, Cooking, Wirecutter, and The Athletic with billions of monthly events. Therefore, the need for a unified, governed, and high-quality data language is critical. In a long-term effort, it will dramatically improve data quality at the New York Times and power real-time recommendation engines, personalization algorithms, and future AI initiatives.
You will be responsible for New York Times' global event data catalog and taxonomy. You will sit at the intersection of Product, Data Platform, and Analytics, capturing every interaction — from a Wordle guess to a subscriber payflow — through a standardized, semantic lens. You will report to our Executive Director, Data & Insights.
Responsibilities:
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You will develop and maintain a multi-domain enterprise taxonomy that includes Behavioral, Commerce, Messaging, User, Session, and other key data domains. This taxonomy will be transferable across all NYT products and codebases.
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You will establish and enforce global events, event properties, standard property values, required fields, acceptable value types, and naming conventions. You will own the definition and lifecycle of global events that track the user journey across the entire NYT ecosystem.
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You will be the final authority for the taxonomy, approving or rejecting all pull requests and proposals for new events, properties, or changes to the existing taxonomy.
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You will oversee the enterprise event catalog, ensuring it serves as a high-fidelity source of truth with accurate business logic and metadata.
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You will define and monitor domain-specific KPIs for data quality, security, and integration, solving for systemic issues.
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You will iterate with engineers to improve instrumentation capabilities in service of data products
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You will collaborate with engineers to align the taxonomy with Kafka infrastructure and with Analytics Engineering to ensure data is designed to flow effortlessly downstream and to help develop our larger New York Times ontology
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You will facilitate and provide oversight for data councils concerning events and metrics
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You will provide support and training to product and analytics teams to improve and evolve event tracking
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You will advocate for information architecture best practices and master data management (MDM) principles across the organization.
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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:
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7+ years in Data Taxonomy, Data Ontology, Data Architecture, Technical Product Management, or Digital Analytics Implementation.
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5+ years of developing taxonomies and information architecture for front-end and back-end use cases
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5+ years of experience with event-cataloging software (e.g., Avo, Iteratively, Segment Protocols, or proprietary internal tools).
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Experience managing complex, global event taxonomies for large, multi-product organizations
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Expertise with JSON, YAML, and other data modeling languages and tools
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Mastery of SQL, Python, and other data wrangling tools and languages
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Experience enforcing standards in high-growth, decentralized engineering environments
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Applied knowledge of industry-leading data governance, quality, and data management practices and tools
Preferred Qualifications:
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Proficiency with GCP, AWS, or other big data environments
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Background in subscription or media industries with complex data
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Familiarity with Data Contracts and their implementation within a CI/CD workflow.
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Master's degree in Library Science, Information Management, or Computer Science.
REQ-019811
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.
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 reasonable.accommodations@nytimes.com. 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 NYTapplicants@nytimes.com. You can also file a report with the Federal Trade Commission or your state attorney general.
Ready to apply?
Apply to The New York Times
Senior Analyst, News Product Analytics
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
We are seeking analytical talent to turn passion for data and support of world-class journalism into decision-making insights. As part of the Data and Insights Group (DIG), you will join a large community of accomplished analysts who partner with Product, Engineering, and Design teams across the business. You will be embedded within our platforms teams and report to the Director, Data & Insights.
Responsibilities:
- You will write SQL, Python, DBT code to pipeline and analyze big datasets across multiple domains
- You will develop data models, pipelines, infrastructure, and metrics that create evergreen solutions and support the wider analytics team
- You will design and run A/B tests to quantify the effectiveness & business impact of platform enhancements
- You will perform strategic analysis to advise and influence our platform roadmaps
- You will build data visualizations and dashboards to expand self-service access to our insights
- You will develop insights on our push channel, helping to optimize platform capabilities that drive engagements & revenue
- 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:
- Advanced proficiency in SQL and experience working with cloud based relational databases (such as BigQuery)
- 3+ years of experience working in product analytics, data science or other data teams
- 3+ years of experience with data visualization tools such as Hex, LookML, PowerBI
- 3+ years of experience in at least one additional scripting language like Python, R, or JavaScript (Python preferred)
Preferred Qualifications:
- 1+ years of experience with version control (Github, code review)
- 1+ years of experience with experimentation and other statistical inference methods
- 1+ years of experience working in dbt
- 1+ years of experience working with a data notebook tools like Jupyter Notebooks
- Familiarity with email & push campaigns + product channel analytics.
REQ-019350
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.
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 reasonable.accommodations@nytimes.com. 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 NYTapplicants@nytimes.com. You can also file a report with the Federal Trade Commission or your state attorney general.
Ready to apply?
Apply to The New York Times