Data Analyst – Marketing

About the job
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.

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.

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

Predictors for Success:

You have a strong understanding of how data engineering and analytics teams operate, and you thrive in a fast-paced environment with multiple concurrent initiatives. You bring experience working with large cross-functional teams and are committed to leading tasks and projects end-to-end.

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

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

Benefits:

Annual Bonus Program
Healthcare: 100% premiums covered for extended medical, dental, and vision premiums paid by the company for employees (50% for dependents)
Group & dependent life, AD&D, and long term disability coverage
Company-matched RRSP contributions up to 4%
Employee Assistance Program (EAP) for mental health and wellness support
Free access for you and your family to our digital wellness platform – Wellness Coach
Generous PTO in addition to our Week of Zen – the time between Christmas and New Year’s to relax and recuperate
Fully Paid Parental Leave – 16 weeks for birthing and non-birthing parents
Family forming and fertility support & services through Maven
Annual Zenni Gift Card – to use towards our products!

Compensation

In addition to other forms of compensation like perks and benefits, the estimated range for this role is CAD $95,000 – 105,000. The final offer will be determined based on permissible, non-discriminatory factors such as skill set, experience, geographical location, market conditions, and other organizational needs. The Company reserves the right to change, modify, or revisit the salary range for various reasons including business needs.

We look forward to hearing from you!

We strive to build a diverse team of individuals with a broad range of experience and perspectives. We encourage you to apply even if you don’t feel you meet all the qualifications.