Lead Digital Product Analyst

About the role

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.

About Bombas: 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. Click here to see what it's like to work inside the Bombas Hive!

Responsibilities

• 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 and ensure accuracy of site analytics tooling.
• Translate complex findings into clear, compelling data stories that influence site strategy, roadmap prioritization, and feature development.

Requirements

• Strong SQL skills and experience analyzing large-scale site datasets.
• Proficient with site analytics tools (preferably Heap) and BI tools (preferably Looker), with a track record of building actionable dashboards.
• Hands-on experience working with engineers to build site event tracking, GTM, and implementation best practices.
• Experience collaborating with both technical and non-technical stakeholders to translate business needs into practical engineering requirements.
• Demonstrated experience designing and analyzing A/B tests (Optimizely or equivalent), with strong statistical knowledge (confidence intervals, lift analysis).
• Proficiency in statistics, including hypothesis testing, significance calculations, and regression analysis.
• Familiarity with ETL processes, data modeling, and site instrumentation best practices.
• Excellent project management and stakeholder engagement skills, with the ability to manage multiple projects simultaneously.
• Deep understanding of eCommerce performance metrics funnels, conversion optimization, and customer journeys.
• Strategic thinker who balances detail-oriented execution with big-picture insights.
• Strong communicator who can translate complex data into actionable business recommendations.
• Comfortable working cross-functionally and driving alignment across multiple stakeholders.

Qualifications

• 4–6+ years of experience in site analytics, eCommerce analytics, or digital product analytics.
• Advanced SQL skills, with the ability to query and manipulate large datasets.
• Proficiency in statistics, including hypothesis testing, significance calculations, and regression analysis.

Skills

• Strong SQL skills and experience analyzing large-scale site datasets.
• Proficient with site analytics tools (preferably Heap) and BI tools (preferably Looker), with a track record of building actionable dashboards.
• Hands-on experience working with engineers to build site event tracking, GTM, and implementation best practices.
• Experience collaborating with both technical and non-technical stakeholders to translate business needs into practical engineering requirements.
• Demonstrated experience designing and analyzing A/B tests (Optimizely or equivalent), with strong statistical knowledge (confidence intervals, lift analysis).
• Proficiency in statistics, including hypothesis testing, significance calculations, and regression analysis.
• Familiarity with ETL processes, data modeling, and site instrumentation best practices.
• Excellent project management and stakeholder engagement skills, with the ability to manage multiple projects simultaneously.
• Deep understanding of eCommerce performance metrics funnels, conversion optimization, and customer journeys.
• Strategic thinker who balances detail-oriented execution with big-picture insights.
• Strong communicator who can translate complex data into actionable business recommendations.
• Comfortable working cross-functionally and driving alignment across multiple stakeholders.

Benefits

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. The pay range for this position at the start of employment is expected to be between $130,000 and $150,000/year. However, the base pay offered may vary depending on multiple factors, including job-related knowledge, skills, experience, market factors, and business need. The Bombas total rewards package offered for this position may also include other elements, such as annual bonus and equity target award opportunities as well as medical, financial, and well-being benefits. Additional details of these benefits will be provided if a candidate receives an offer of employment.

Pay

The pay range for this position at the start of employment is expected to be between $130,000 and $150,000/year. However, the base pay offered may vary depending on multiple factors, including job-related knowledge, skills, experience, market factors, and business need.

Schedule

This role is based out of our Bombas HQ in New York City.