Analyst, Commerce - CNN Data Analytics, Science & Insights

Warner Bros. Discovery•New York, NY

About The Position

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 will 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.

Requirements

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.
Experience with data visualization and dashboarding tools such as Tableau and Looker.
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.
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 audiences and translating data into strategic recommendations.
A self-starter passionate about using data to drive decisions.

Nice To Haves

Exposure to digital affiliate commerce businesses or media industry.
Experience with statistical programming languages (Python, R).
Basic familiarity with A/B testing methodologies and experimental design.
Understanding of basic statistical concepts such as correlation, probability distributions, statistical significance, hypothesis testing
Degree in a quantitative field (Math, Statistics, Economics, Computer Science, etc.).

Responsibilities

Support and conduct analyses 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 proactively 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.