Senior Analyst, Data & Insights, Games

The mission (https://www.nytco.com/mission-and-values/) 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 the Data and Insights Group (DIG).

As part of the Data and Insights Group (DIG), you will join a large community of experienced analysts. You will partner with Product, Newsroom, Engineering, Design, Marketing, Strategy, Finance and PMO teams across the business. We are looking for a curious and a collaborative team player- someone who understands the value of contribution to a greater whole and the importance of analytic delivery.

This is a hybrid role based in our New York City headquarters. You can typically expect to come into the office 3 days/week.

Responsibilities:

• Create data-driven insights, promote them and lead them into action

• Develop centralized reporting dashboards and automated reports to expand access to data and analytics

• Write SQL to build pipelines and analyze large datasets

• Run A/B tests, deliver test insights and advise on future tests and next steps

• Advise partners on areas of opportunity

• Demonstrate support and understanding of our value of journalistic independence (https://www.nytco.com/company/mission-and-values/) and a commitment to our mission to seek the truth and help people understand the world.

• You will report to the Senior Manager, Data and Insights

Basic Qualifications:

• 2+ years of experience working with data analytics or data science teams to deliver analysis

• 1+ years of experience applying statistical methods to analytical problems

• Proficiency in SQL and experience working with relational databases

• Proficiency in at least one additional scripting language like R or Python

• Experience with data visualization and presenting insights from data

• A collaborative mindset and sense of curiosity

Preferred Qualifications:

• 1+ years of experience working in big data environments such as BigQuery or Amazon Web Services, 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 A/B testing.

#LI-Hybrid

REQ-020679

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, employee stock purchase 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 annual base pay range for this role is between:

$101,000 — $114,000 USD

Candidate Use of GenAI Tools:

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 (https://www.eeoc.gov/know-your-rights-workplace-discrimination-illegal) .

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 [email protected]. Emails sent for unrelated issues, such as following up on an application, will not receive a response.

For information about The New York Times' privacy practices for job applicants, click here (https://nytco-assets.nytimes.com/2020/06/NYT\_Applicant\_Privacy\_Policy.pdf) .

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 (https://www.nytco.com/careers/) . 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 [email protected]. You can also file a report with the Federal Trade Commission (https://reportfraud.ftc.gov/#/) or your state attorney general (https://www.naag.org/our-work/center-for-consumer-protection/consumer-file-a-complaint/) .