Manager, Analytics - Subscription and Product

Smarter, Faster, and as always - First. That's our philosophy. Bloomberg Media empowers global business leaders with breaking news, expert opinion, and proprietary data distributed on every platform, across every time zone. Like our products and solutions, our teams are agile, dynamic, and innovative. We work hard, and we work fast — while keeping up the quality and accuracy for which we're known. It's what keeps us inventing and reinventing, all the time. Our culture is wide open, just like our spaces. We challenge each other. And through our countless volunteer projects, we help bring out the best in our communities around us, too. You can do amazing work here. Work you couldn’t do anywhere else. It’s up to you to make it happen.

Bloomberg runs on data, and data drives the market. Our GDSI team is an integral part of driving our business through data-backed decision making for Bloomberg Media. Individuals on the team lead strategic analytics projects, from development and analysis to presentation, working alongside key decision makers across the Media business.

The GDSI team is looking for a Manager of Analytics with deep experience in subscription and digital product analytics, who can bring both strategic thinking and hands-on technical skills. You will partner closely with leaders across Subscriptions, Product, Marketing, and Editorial, while supporting additional business units including Commercial, Engineering, Research, Finance, and Strategy/Operations.

This highly visible, cross-functional role will require technical expertise in SQL and Python, strong analytical storytelling, and the ability to influence product and business strategy. As a senior individual contributor, you will independently lead complex analytical initiatives, help shape measurement and analytics strategy, and serve as a trusted analytical partner to stakeholders across Bloomberg Media.

This role will also optimize the use of advanced tools and methodologies such as machine learning, predictive analytics, and experimentation, helping us stay competitive by leveraging the latest analytical techniques. Think of this role as part strategist, part executioner, part business insights partner, and part data architect.

We’ll trust you to: