Data Analytics Engineer

Who We Are

Zenni Optical, the world's leading online eyewear retailer, pioneered the industry in 2003 with a mission to make prescription eyewear affordable and accessible to everyone.

Based in the San Francisco Bay Area, Zenni offers adults and children the freedom to express their personal style through high-quality prescription and protective eyewear curated with a sense for fashion and an incredible selection.

With over 55 million frames sold worldwide, the company has brought massive price disruption to the traditional retail model.

Zenni is proud to be the Official Eyewear of the San Francisco 49ers, the Boston Celtics, Chicago Bulls, USA Volleyball, Columbus Crew, Ghost Gaming, TSM and more.

Zenni has worked with designers and tastemakers on curations and collections, including Keke Palmer, Iris Apfel, Chase Stokes and George and Claire Kittle.

With our recent EyeQLenz and VR Prescription Lenses for Meta Quest 3, we continue to innovate and serve our mission to help the world see better and live better.

About the Role

We are seeking a highly skilled Fully Remote Data Analytics Engineer with expertise in either Top of the Funnel analysis or Competitor and Product Analysis.

The ideal candidate will have a strong background in one of these domains, with extensive experience in data analysis, digital marketing, and e-commerce.

As the company increasingly leverages data and Generative Artificial Intelligence to drive innovation and competitive advantage, this role is critical in helping optimize our marketing, product and pricing strategies.

You will provide actionable insights that drive user engagement, growth, and product excellence by integrating advanced data analytics and AI-driven solutions into our business processes.

Responsibilities : (with a focus on one of the following domains)

Top of the Funnel Focus :

• Lead the analysis of Top of the Funnel Focus activities across various digital channels, providing insights to drive user acquisition and engagement.
• Manage and optimize event data pipelines from Google Analytics 4 (GA4), RudderStack, and other sources into the data warehouse.
• Design and debug GTM (Google Tag Manager) configurations to ensure accurate data collection and tracking.
• Collaborate with marketing, creative, and merchandising teams to translate data insights into actionable business strategies.
• Utilize SQL and Python for in-depth data analysis, developing automated reports and dashboards.
• Drive Generative AI projects focused on optimizing Top of the Funnel performance and user acquisition.
• Implement and analyze A / B testing to evaluate and improve the effectiveness of marketing strategies.

Competitor and Product Analysis Focus :

• Conduct in-depth competitive analysis using platforms like SimilarWeb, focusing on key areas such as promo optimization, pricing optimization, and product information optimization.
• Perform pricing optimization analysis to identify opportunities for maximizing revenue and maintaining competitive pricing strategies.
• Analyze product lifecycle data to identify trends and optimize product strategies, ensuring that products are launched, marketed, and retired effectively.
• Manage and optimize event data pipelines from GA4, RudderStack, and other sources into the data warehouse.
• Design and debug GTM (Google Tag Manager) configurations to ensure accurate data collection and tracking.
• Implement A / B testing strategies to evaluate and improve product performance, promotions, and pricing strategies.

Basic Qualifications :

• Bachelor's degree in Computer Science, Engineering, or a related field.
• At least 4 years of experience in data analysis or data engineering, with a minimum of 3 years of experience in the e-commerce industry.
• Strong business domain expertise in either Top of the Funnel or Competitor and Product Analysis is essential.
• Extensive experience with event data, including working with Google Analytics 4 (GA4) and RudderStack.
• Strong experience with dbt and data modeling.
• Deep knowledge of GTM (Google Tag Manager) configuration and debugging.
• Proficiency in SQL and Python for data analysis, with the ability to write and optimize complex queries and scripts.
• Experience with Generative AI projects or A / B testing methodologies.
• Familiarity with Databricks, Looker, and dbt is a plus.
• Strong communication skills with the ability to convey complex data insights to non-technical stakeholders.
• Ability to work independently and as part of a team in a fast-paced, dynamic environment.

Preferred Qualifications :

• Familiarity with front-end technologies such as JavaScript and Next.js.
• Knowledge of basic Gen-AI technologies.

Canada Perks & Benefits :

• Annual Bonus Program.
• Healthcare : 100% premiums covered for extended medical, dental, and vision 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!

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.

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