WHO WE ARE

Born from a mission to make prescription eyewear affordable and accessible to everyone, Zenni Optical has been changing the way people see the world since 2003. With complete prescription pairs for adults and kids starting at under $10, we’ve grown into a global brand with over 51 million pairs of glasses sold — and counting!
Based in the San Francisco Bay Area, we’re proud to be the Official Eyewear of the San Francisco 49ers, Boston Celtics, Monster Jam, Ghost Gaming, TSM, Major League Pickleball and more. We’ve also partnered with tastemakers and designers like Chase Stokes, Jrue Holiday, and George and Claire Kittle to bring our brand to life in bold, meaningful ways.
Innovation is at the heart of everything we do at Zenni — from our revolutionary EyeQLenz™ with Zenni ID Guard™ glasses to our cutting-edge VR Vision Screener, we’re constantly exploring new ways to improve vision and enhance lives. For more information, please visit zenni.com/press.
Candidate safety is important to us. Please note that all official communication will only be sent from @zennioptical.com addresses.

POSITION OVERVIEW:

To support our rapid growth, we are currently looking for a strong tech background data analyst to be part of the Data Engineering team that builds analytics systems to enable a data-driven company. This position will be a valuable member of our team and is expected to open data visibility to the whole organization, provide key metrics to all levels of leadership and build data models for business decision optimization. You will work across key business domains including e-commerce funnel analysis, Marketing, CRM, Inventory, Supply Chain, and Customer Service, leveraging enriched data to drive meaningful impact across the organization

BASIC QUALIFICATIONS:

• Bachelor’s degree in Computer Science, Data Science, or a related technical field
• Minimum 3 years of experience in data analytics, specifically Marketing domain
• Strong background in marketing analytics with a minimum of 3 years of hands-on experience
• At least 2 years of hands-on experience in e-commerce analytics
• Expert-level proficiency in SQL
• Proficient in Python and dbt
• High proficiency in data visualization tools such as Looker or Tableau
• Experience with raw event data platforms such as RudderStack or Google Analytics
• Strong experience in data modeling
• Excellent communication skills, both written and verbal
• Demonstrated ability to manage and deliver projects independently in a fast-paced environment

PREFERRED QUALIFICATIONS:

• Strong background in data engineering and familiarity with modern data stack architecture
• Experience working on global or cross-regional teams (e.g., North America and China collaboration)
• Demonstrated ability to drive significant business outcomes through data initiatives
• Passion for data storytelling and strategic thinking
• Proven adaptability and success in high-velocity team environments
• Experience inspiring teams to think big and deliver scalable data solutions

ABOUT THE ROLE:

To support our rapid growth, we are currently looking for a strong tech background data analyst to be part of the Data Engineering team that builds analytics systems to enable a data-driven company. This position will be a valuable member of our team and is expected to open data visibility to the whole organization, provide key metrics to all levels of leadership and build data models for business decision optimization. You will work across key business domains including e-commerce funnel analysis, Marketing, CRM, Inventory, Supply Chain, and Customer Service, leveraging enriched data to drive meaningful impact across the organization.

RESPONSIBILITIES:

• Develop, optimize, and maintain analytics systems and data models to support data-driven decision-making across the organization
• Collaborate with cross-functional teams across North America and China, including product, engineering, marketing, merchandising, finance, CRM, UX, customer support, and leadership
• Conduct in-depth analysis across key business domains, including e-commerce funnel, marketing performance, CRM metrics, inventory trends, supply chain efficiency, and customer service effectiveness
• Build visibility into organizational data and deliver actionable insights through dashboards, KPIs, and reporting tools
• Lead end-to-end analytics projects, including scoping, requirements gathering, implementation, QA, and stakeholder communication
• Translate complex data findings into clear, compelling narratives for both technical and non-technical audiences
• Drive meaningful business impact through the use of enriched data, modern analytics tools, and performance storytelling
• Contribute to fostering a data-first culture within the company by providing strategic recommendations and business optimization insights