The New York Times

Senior Analyst, Marketing

The New York Times

full-time

Posted on:

Location Type: Hybrid

Location: New York CityNew YorkUnited States

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Salary

💰 $101,000 - $110,000 per year

Job Level

About the role

  • Lead the Revenue-Driven Testing Agenda: Design, execute, and analyze a rigorous experimentation roadmap (including A/B testing, incrementality testing, and geo-based experiments).
  • Establish the Commerce Measurement Framework: Develop a robust, end-to-end measurement framework specifically tailored for the affiliate and e-commerce funnel.
  • Conduct deep-dive analyses using advanced statistical methods (e.g., synthetic control, predictive modeling).
  • Monitor the accuracy of all marketing and media data. Write expert-level SQL to pipeline, transform, and analyze big data sets in Google BigQuery.
  • Conduct analysis to determine which surfaces, messages, and creative elements are most impactful for driving transactions.
  • Build compelling data visualizations (using Looker, Mode, Hex).
  • Be the data partner for Marketing, Finance, Commerce and Product teams.
  • Advance our understanding of the customer journey, monitoring key e-commerce/affiliate KPIs such as ROAS, CAC efficiency, and purchase conversion rates.

Requirements

  • 3+ years experience in an analytical role.
  • Advanced proficiency in SQL and familiarity with big data warehouses such as Google BigQuery.
  • 3+ years of experience presenting insights to team members and company partners.
  • 1+ years of experience with data visualization tools such as Mode, Tableau, or Looker.
  • 1+ years of experience with A/B testing and experimentation design.
  • 5+ years of progressive experience in a quantitative analytical role (Marketing Analytics, Growth Analytics, or Marketing Science) preferred.
  • 1+ years of experience optimizing a transactional or e-commerce-driven business model (e.g., affiliate, retail, marketplace) preferred.
  • Proficiency in Python or R preferred.
  • 1+ years of experience with advanced marketing measurement techniques such as Incrementality Testing, Media Mix Modeling (MMM), or Causal Inference preferred.
  • Familiarity with marketing platforms (e.g., Google Ads, Meta) preferred.
  • 1+ years of experience using predictive analytics (e.g., LTV modeling, audience clustering) for campaign targeting and optimization preferred.
Benefits
  • medical, dental and vision benefits
  • Flexible Spending Accounts (F.S.A.s)
  • company-matching 401(k) plan
  • paid vacation
  • paid sick days
  • paid parental leave
  • tuition reimbursement
  • professional development programs
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools
SQLA/B testingincrementality testingpredictive modelingdata visualizationPythonRmedia mix modelingcausal inferencepredictive analytics
Soft Skills
analytical skillspresentation skillscollaborationcommunication