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Senior Analyst, Growth Analytics, Retention

The School of The New York Times

New York (NY)

On-site

USD 101,000 - 110,000

Full time

2 days ago
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Job summary

The School of The New York Times is seeking a Senior Analyst for Growth Analytics in its Data and Insights Group. The role involves analyzing data, developing dashboards, and supporting retention and revenue efforts through machine learning models in a collaborative environment.

Qualifications

  • 3+ years of experience with data analytics or data science teams.
  • Proficiency in SQL and experience with relational databases.
  • Experience in Python or R.

Responsibilities

  • Write SQL to pipeline and analyze big data.
  • Develop dashboards for data access.
  • Run A/B Tests and analyze results.

Skills

Data analytics
SQL
Data visualization
Python
R

Tools

Tableau
Looker

Job description

Senior Analyst, Growth Analytics, Retention

Join to apply for the Senior Analyst, Growth Analytics, Retention role at The School of The New York Times

Senior Analyst, Growth Analytics, Retention

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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 Times is looking for a creative senior data analyst who is passionate about data and eager for the opportunity to support our journalistic mission. As part of the Data and Insights Group (DIG), you will join a large community of data analysts who partner with Product, Engineering, Design, and PMO teams across the business. You will support the Algorithmic Targeting (ALTA) team's retention and revenue pod, which develops, deploys, tests, and analyzes machine learning models. You will report to the Executive Director of Growth Analytics.

Responsibilities

  • You will write SQL to pipeline and analyze big data
  • You will develop dashboards to expand access to data and analytics
  • You will perform data-oriented analyses and present your insights to high-level partners in slide decks and memos to guide team strategy
  • You will run A/B Tests and provide scope and analysis
  • You will investigate and visualize relationships between our models' outputs and user segments and behavior, to motivate algorithm improvements
  • 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

  • 3+ 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
  • 3+ years of experience communicating cross-functionally, presenting key insights to team members and company partners
  • Experience in Python or R
  • 1+ years of experience with data visualization tools such as Mode, Tableau, or Lookr

Preferred Qualifications

  • Familiarity with Google BigQuery, AWS, DBT, or other big data environments
  • Familiarity with machine learning techniques
  • 1+ years of experience applying statistics to strategic problems
  • 1+ years of experience with A/B testing

REQ-018334

The annual base pay range for this role is between:

$101,000 - $110,000 USD

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 will further consider qualified applicants, including those with criminal histories, in a manner consistent with the requirements of applicable "Fair Chance" laws.

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 security@nytimes.com. You can also file a report with the Federal Trade Commission or your state attorney general.

Seniority level
  • Seniority level
    Mid-Senior level
Employment type
  • Employment type
    Full-time
Job function
  • Job function
    Business Development and Sales
  • Industries
    Higher Education

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