Lead Digital Product Analyst

Bombas is a comfort focused premium basics brand with a mission to help those in need. The company launched in 2013, after the founders learned that socks are the #1 most requested clothing item at homeless shelters. From there, they set out to solve that problem, donating a pair of socks for every pair they sell. How do you donate a lot of socks?

You sell a lot. And how do you sell a lot? You make the most comfortable socks in the history of feet. Millions of pairs sold and donated later, Bombas has continued to innovate within its mission and product, introducing new socks, as well as underwear and t-shirts, the #2 and #3 most requested clothing items at homeless shelters, all while continuing to make a positive impact on the community where we all work and live.

Clickhere to see what it's like to work inside the Bombas Hive!

The word Bombas is derived from the Latin word for bumblebees. Bees work together to make their hive a better place. At Bombas, we’re inspired by that. We know it’s the collective efforts of our team that keeps the Hive alive and strong - a team that is diverse and inclusive. Different perspectives strengthen our ability to make the most comfortable versions of the products people wear closest to their bodies every day and to serve the communities where we all work and live.

We are committed to continuously building a Hive where all are welcomed, seen, and heard regardless of age, color, ethnicity, gender, gender identity, genetics, physical or mental ability, protected veteran status, race, religion, and sexual orientation. As a team, we will strive to create room for different experiences and empower all voices.

Based on the specific needs and job requirements, this role will be working out of our Bombas HQ in New York City.

Bombas is committed to delivering competitive and equitable pay for our employees.

Each component of the Bombas total rewards package, including benefits and pay, is aimed at contributing to an environment where team members have resources to manage their lives and are enabled to focus on doing their best work.

We are looking for a strategic, data-driven, and impact-oriented individual to join our Customer Analytics team as a Lead Digital Product Analyst, reporting directly to our VP, Consumer Insights. The ideal candidate has 4–6+ years of experience in site analytics, experimentation, and eCommerce performance optimization.

This role is perfect for someone who thrives at the intersection of data, product, and customer experience, and who is eager to build the analytical foundation that drives our site experience forward.

You’ll partner closely with Digital Product, Engineering, Site Merchandising, and Data Platform teams to track site performance, strategize site testing and optimizations, and analyze site behavior to uncover insights. You’ll be responsible for driving site analytics practices, collaborating on A/B test designs and readouts, ensuring data accuracy, and building data models to explore site behavior and provide clarity across tracking and measurement systems.

• Serve as the analytics lead for site performance, partnering with Digital Product, Engineering, and cross-functional teams to scope questions, design A/B tests and analyses, and deliver actionable insights.
• Build and maintain dashboards in Heap and Looker that provide visibility into site funnel performance, customer journeys, and conversion KPIs.
• Conduct deep-dive analyses of on-site behavior and performance to inform product and eCommerce strategy, and present findings to stakeholders.
• Partner with Digital Product on the design, execution, and analysis of A/B and multivariate tests, ensuring statistical rigor and actionable learnings.
• Develop and refine site metrics and performance frameworks, ensuring consistent definitions and alignment across teams.
• Partner with Engineering and Product to define, implement, and validate tracking across site analytics systems (Heap, Optimizely, GTM, Contentsquare, etc.), ensuring accurate tagging, data integrity, and quality.
• Collaborate with Data Engineering and Platform teams to build site data models…