Senior Analytics Manager, Marketing

WeightWatchers is a global digital health company. 

We are the #1 doctor-recommended – and most clinically studied – behavioral weight health program in the world. For sixty years, WeightWatchers has helped millions build healthy habits and live happier, healthier lives.

As the science of weight health rapidly evolves, so does WeightWatchers. Today we are developing new clinical pathways for medication access, creating behavioral programs for chronic health conditions, integrating third-party services, and enhancing product personalization.

WeightWatchers has embraced technology, with our mobile app now the  primary tool for most members. While we continue to perfect our digital product, we are also designing new in-person experiences. With these diverse member touchpoints, our potential for impact has never been greater.

Who We Are 

The Data Team at WeightWatchers is in a key position to shape the future of our business and products. Leveraging tens of billions of data points per year, we produce insights that enable WeightWatchers to better serve our 4 million worldwide members. We are equal partners with our peers in Product, Engineering, Marketing, Finance, and beyond. At WeightWatchers there’s an authentic appetite for data-informed decision-making across the company, and our role is to educate and empower stakeholders by leading with transparency and expanding our stakeholders’ understanding, often of deeply technical concepts.

 

The Team

We are a centralized analytics team that serves the whole business. We’re looking for someone to partner with the Marketing team to help make our data accessible and meaningful to the business. Examples of projects could be: re-define how we calculate our LTV, from collaborating with the business to align on definitions through the technical execution; updating our Looker instance to incorporate more Braze data; running incrementality tests; or answering adhoc analytics questions from leadership. 

 

What you will do 

We're seeking a driven and insightful Senior Analytics Manager to join our dynamic team and become a critical partner to our Marketing organization. In this role, you'll be at the forefront of transforming marketing data into actionable insights, directly influencing our CRM strategies, customer retention initiatives, and lifetime value optimization. You'll manage and execute analytics requests, empowering the marketing team with the data they need to make informed decisions and drive impactful results. If you're passionate about leveraging data to fuel marketing success and thrive in a fast-paced environment, we encourage you to apply!

• Serve as the primary analytics point of contact for the Marketing team, understanding their key objectives and translating their business questions into analytical projects.

• Manage and execute a wide range of analytics requests related to CRM performance, customer retention, and lifetime value analysis.

• Design, develop, and maintain robust and scalable data models and dashboards in Looker using LookML to provide clear and accessible insights.

• Write complex SQL queries to extract, transform, and analyze large datasets from various sources.

• Collaborate closely with marketing stakeholders to define key metrics, build reports, and develop data-driven recommendations.

• Proactively identify opportunities to improve marketing campaign performance, customer segmentation, and overall marketing effectiveness through data analysis.

• Communicate analytical findings and insights effectively to both technical and non-technical audiences through clear visualizations and presentations.

• Maintain data integrity and ensure the accuracy and reliability of marketing data and reporting.

• Own the relationship between WW and our third party MTA / MMM vendors

• Scope and analyze incrementality and geo lift tests

• Stay up-to-date with the latest trends and best practices in marketing analytics and data visualization.

This is a senior manager role, with the additional responsibility of ensuring quality of work (via code review and pair programming) and promoting best practices (e.g. workflow development and toolset adoption) across the team. You will also have the opportunity to collaborate with our Data Engineering team (who maintain our data warehouse and ETLs). We expect that all of our analysts and managers contribute code to the collective. We all write code and we all review code.

 

Who You Are

• Bachelor's degree in a quantitative field such as Statistics, Mathematics, Economics, Computer Science, or a related