About the job
About Super.com
At Super.com, our mission is to enhance the lives of our customers and our team alike, enabling everyone to embrace the full spectrum of life's opportunities. We are committed to ensuring that Super.com transcends being just a job; it is a platform for personal and professional growth, where learning is embraced and impactful contributions are recognized.
We pride ourselves not only on being a dynamic, fast-growing tech enterprise but also on the care we extend to our employees, prioritizing career development. Your career matters to us, and we aim to supercharge it through our talented workforce, innovative projects, and supportive programs.
About this Role
As the Director of Analytics & Data Science, you will spearhead the evolution of our Analytics and Data Science division. Operating within our mission-aligned team model, your role will be to integrate various embedded teams—establishing unified standards, shaping analytical frameworks, and ensuring our initiatives consistently inform high-quality business decisions. You will collaborate closely with Product, Engineering, and Executive leadership to develop robust analytics and intelligent systems that drive growth, mitigate risks, and enhance customer experiences. This position requires a blend of strategic oversight, organizational structuring, and technical expertise to amplify our impact while maintaining agility across diverse business lines.
About this Team
You will be part of our dedicated Analytics & Data Science team, where being data-driven is a core value at Super.com. Our team is adept at utilizing Snowflake, DBT, and Amplitude, ensuring we leverage these tools to their fullest potential. We are seasoned practitioners who launch new experiments daily, and we invite new teammates to join us in building intelligent systems and making data-driven decisions.
What You’ll Be Working On:
Lead the expansion of the Analytics and Data Science organization, focusing on recruiting and developing managers and individual contributors while crafting team structures that facilitate deeper data science integration across all operations.
Incorporate analytics and data science into fundamental business workflows, ensuring that insights, models, and strategies are consistently applied to enhance performance.

