Manager, Data & Insights, Email Marketing

The New York Times•New York, NY

7h•$124,000 - $135,000

About The Position

The New York Times is looking for a Manager, Data & Insights, Marketing. As part of the Data and Insights Group (DIG), you will join a large community of accomplished data analysts who partner with Product, Engineering, and Design teams across the business. You'll work on our Owned Media Analytics team to help hit quarterly and long-term subscriber acquisition goals and engagement goals from channels such as Email, Display, Audio, and Print. More specifically, you'll help monitor and evaluate NYT's owned Marketing efforts. You'll also have the opportunity to conduct generative research to identify opportunities for future improvements. You will report to the Director, Marketing Analytics.

Requirements

5+ years of experience working on data analytics or data science teams where you analyzed time series trends, generated insights that drove decision-making, and developed tools that democratized data for partners throughout the company
1+ year of experience doing marketing analytics or working with email data.
5+ years of experience applying statistics to strategic problems
Mastery of SQL and experience working in Google BigQuery, AWS, or other big data environments
5+ years of experience with data visualization tools like Mode or Tableau

Nice To Haves

Mastery of Python or R
5+ years of experience with digital experimentation
3+ years of working in lifecycle and email marketing, experience with ESPs (Klaviyo, MailChimp, Responsys)
Experience using A/B testing to optimize performance, improving deliverability, and turning subscriber data into actionable marketing strategies.
Mastery of version control (Github, code review)

Responsibilities

Work with the Media team to build the weekly, monthly, and quarterly narrative of Marketing Email performance.
Build automated dashboards and decks to support this narrative and aid in reporting.
Forecast metrics each year, and help the team optimize the channel to achieve their quarterly and yearly goals.
Facilitate a continuous experimentation strategy aimed at improving channel and program performance, setting measurable hypotheses, counter metrics, and working with the team to break-down and understand results.
Work with the Machine Learning Science team to test efficacy of different models, and adjust dynamic thresholds based on data.
Work closely with engineers to ensure data accuracy and availability.
Build relationships across product, marketing, and messaging teams to execute the strategy and vision of the email program.
Support data-oriented analyses, produce insights useful to the business, and present to partners and leaders across the organization.
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.