Senior Analyst, Reporting Ops
•Airwallex· 3h
🏷️ Data Science⏰ Full-time⭐ Senior📍 Kuala Lumpur, Malaysia
3h ago
Thenewyorktimes·2 days ago
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
Our Wirecutter team is looking for a Senior Marketing & Revenue Analyst inspired by driving tangible, measurable growth. This critical role is the analytical engine for Wirecutter's marketing-led growth, focused on accelerating the revenue generated from our world-class service journalism.
You will operate at the strategic intersection of paid media and affiliate commerce, developing the measurement and testing frameworks that maximize conversion rates, improve channel efficiency, and increase our transactional revenue base. You will go beyond basic reporting to deliver deep, actionable insights that directly influence how we invest millions of dollars in media spend— and help millions of people make smarter buying decisions. You will report to the Senior Manager, Data and Analytics, Wirecutter. You can work remote or in the New York office.
Responsibilities:
Measurement & Testing Leadership
You will Lead the Revenue-Driven Testing Agenda: Design, execute, and analyze a rigorous experimentation roadmap (including A/B testing, incrementality testing, and geo-based experiments) to determine the true causal impact of all marketing spend on downstream revenue.
You will establish the Commerce Measurement Framework: Develop a robust, end-to-end measurement framework specifically tailored for the affiliate and e-commerce funnel, defining and tracking new metrics for product engagement and conversion rates attributed to media efforts.
You will conduct deep-dive analyses using advanced statistical methods (e.g., synthetic control, predictive modeling) to identify under-performing segments and optimization levers for bidding strategies, messaging, and creative.
You will monitor the accuracy of all marketing and media data. Write expert-level SQL to pipeline, transform, and analyze big data sets in Google BigQuery
You will conduct analysis to determine which surfaces, messages, and creative elements are most impactful for driving transactions. Advise the Marketing team on critical areas of opportunity and recommend strategic shifts to maximize Return on investment.
You will build compelling data visualizations (using Looker, Mode, Hex) to communicate complex media performance topics and actionable revenue recommendations to team members, including senior leadership.
You will be the data partner for Marketing, Finance, Commerce and Product teams, translating team goals into analytical requirements and communicating technical results into clear, business-relevant strategies.
You will advance our understanding of the customer journey, monitoring key e-commerce/affiliate KPIs such as ROAS, CAC efficiency, and purchase conversion rates, to inform loyalty, acquisition, and full-funnel optimization strategies.
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 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 Lookr
1+ years of experience with A/B testing and experimentation design
Preferred Qualifications:
5+ years of progressive experience in a quantitative analytical role (Marketing Analytics, Growth Analytics, or Marketing Science), with experience influencing paid media strategy and driving results.
1+ years of experience optimizing a transactional or e-commerce-driven business model (e.g., affiliate, retail, marketplace) and familiarity with metrics like Purchase Conversion Rate and Transactional ROAS
Proficiency in Python or R
1+ years of experience with advanced marketing measurement techniques such as Incrementality Testing, Media Mix Modeling (MMM), or Causal Inference
Familiarity with marketing platforms (e.g., Google Ads, Meta) and the process of connecting MarTech and media data into measurement environments
1+ years of experience using predictive analytics (e.g., LTV modeling, audience clustering) for campaign targeting and optimization
REQ-019487
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.
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