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Analyst, Commerce - CNN Data Analytics, Science & Insights

Job in New York City, Richmond County, New York, USA
Listing for: Warner Bros. Discovery
Full Time position
Listed on 2026-02-27
Job specializations:
  • IT/Tech
    Data Analyst, Ecommerce, Data Science Manager, Digital Marketing
Job Description & How to Apply Below
** _Welcome to Warner Bros. Discovery... the stuff dreams are made of._*
* ** Who We Are...*
* When we say, "the stuff dreams are made of," we're not just referring to the world of wizards, dragons and superheroes, or even to the wonders of Planet Earth. Behind WBD's vast portfolio of iconic content and beloved brands, are the  _storytellers_  bringing our characters to life, the  _creators_  bringing them to your living rooms and the  _dreamers_  creating what's next...

From brilliant creatives, to technology trailblazers, across the globe, WBD offers career defining opportunities, thoughtfully curated benefits, and the tools to explore and grow into your best selves. Here you are supported, here you are celebrated, here you can thrive.

We are the now and the next. The power behind the people building the future. We are born from the spirit of innovation. We are created from the idea that people around the world want more, need more, deserve more. We are the home of the global digital revolution. We are CNN.

To see what it's like to work at CNN, follow @WBDLife on  Instagram ()   and  X ()  !

We are CNN. The world's most essential and engaging source of digital news .
We are   in the midst of   rapid transformation and need our next generation of innovators, makers, and dreamers who will lead and drive our growth. We aim to make the world a better, more connected place.

The Job

CNN is seeking a   Data   Analyst to join our   Revenue   Analytics team. This role will   focus on   delivering actionable insights   that   drive   user conversion across   CNN's   commerce   initiatives .
They   w ill   partner   closely with   Product,   Editorial, Programming,   Business Development,   and   Strategy   teams   in support of   their efforts to   deepen users' relationship with CNN's   digital   commerce   content and   products . The ideal candidate combines strong technical skills with a strategic mindset, is strong at managing priorities, and thrives in a fast-paced, data-driven environment.

The Daily

The Analyst,   Commerce   will:

+  Support   and conduct   analys e s of   commerce   initiatives across CNN's digital platforms to   identify   trends and opportunities for   optimizing   conversion.

+  Collaborate with cross-functional teams to develop and evaluate hypotheses, contributing to data-driven decision-making.

+  Build and   maintain   reports and dashboards that track key conversion metrics and key performance indicators.

+  Conduct exploratory analyses to uncover friction points in the user experience and support recommendations for improvement.

+  Develop a   deep   understanding of   commerce data to   p roactively   alert   appropriate teams   when data is outside of established thresholds, make recommendations based on business insights.

+  Present findings in clear, concise formats to stakeholders, with guidance from senior analysts and managers.

+  Collaborate with data engineering and platform teams to ensure data accuracy and scalability of analytics solutions.

The Essentials

+  1 + years of experience in analytics, preferably in   affiliate   commerce   or digital media .

+  Working knowledge of   SQL for querying and analyzing large datasets.

+  Advanced   proficiency   in Excel .

+  Familiarity   with   basic   affiliate - and   commerce - analytics concepts   to   identify   key areas for improvement   in content,   such as audience acquisition behavior, conversions, and content optimizations .

+  Strong attention to detail, a proactive approach to problem- solving   and a   keen eye for data quality .

+  Curiosity about   ecommerce,   service journalism,   and user behavior , with a   strong interest in   understanding what drives   audience   engagement and conversion .

Key Contributors to Success

+  A willingness to learn and   adapt strategy as   datasets evolve.

+  Logical   mindset capable of making   appropriate trade-offs   between speed and analytical depth without sacrificing quality .

+  Strong interpersonal skills with the ability to influence and collaborate across teams.

+  Ability to deliver on multiple projects and meet tight deadlines.

+  Comfortable communicating with diverse…
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