Zenni Optical

Zenni Optical

Manager, Data Analytics - United States

US · Full-time

Sponsorship not specified$155k-$183kDetected 11 days ago
PythonExpressSQLDatabricksMachine LearningData AnalysisData EngineeringStakeholder ManagementPerformance MarketingRecruitingLeadershipCommunicationCollaborationMentoring

About the role

  • Zenni is experiencing rapid growth in the affordable eyewear space, and data is at the core of our success.
  • In this leadership role, you will bridge the gap between complex data architecture and strategic marketing initiatives.
  • You will be responsible for translating large datasets into clear, actionable insights, empowering our cross-functional teams to make confident, informed decisions.

Responsibilities

  • Champion data literacy: Provide ongoing training and support to the Engagement Marketing team, ensuring complex data concepts are seamlessly communicated and understood.
  • Drive cross-functional alignment: Act as the strategic bridge between the Data and Engagement Marketing teams, streamlining communication to boost operational efficiency and collaboration.
  • Power marketing platforms: Integrate enriched, highly trusted data with key business platforms (e.g.,Google, Tik Tok, Meta) to optimize ad delivery and AI performance.
  • Ensure data integrity: Own the lifecycle of data feeds, encompassing validation, monitoring, testing, and proactive alerting, to guarantee uncompromising data quality and reliability.
  • Define success metrics: Partner with functional teams to establish a shared, accurate understanding of the core metrics that drive organizational performance.
  • Shape the data roadmap: Lead the strategic planning for the data team, ensuring technical initiatives directly align with Zenni's overarching growth objectives.
  • Provide ongoing training and support to the Engagement Marketing team, ensuring complex data concepts are seamlessly communicated and understood.
  • Own the lifecycle of data feeds, encompassing validation, monitoring, testing, and proactive alerting, to guarantee uncompromising data quality and reliability.
  • Partner with functional teams to establish a shared, accurate understanding of the core metrics that drive organizational performance.
  • By building robust data solutions and fostering strong collaboration across departments, you will directly impact our operational efficiency and drive revenue growth.

Requirements

  • 8+ years of dedicated experience in the data area, coupled with at least 3 years navigating the fast-paced e-commerce landscape.
  • Advanced fluency in SQL and Python, with the ability to dive deeply into a modern tech stack as a hands-on contributor.

Nice to have

  • Hands-on expertise working within Databricks environments.
  • Proven track record of guiding and mentoring high-velocity data teams in a fast-paced setting.
  • Demonstrated success managing complex data integrations, advanced reporting, and platform optimization across diverse marketing channels.
  • An enthusiastic, proactive approach to tackling new technical challenges and driving continuous improvement.
  • 401(k) with up to 4% match

Compensation

  • In addition to other forms of compensation like perks and benefits, the estimated range for this role is $155,000 - $183,000 USD.
  • The Company reserves the right to change, modify, or revisit the salary range for various reasons including business needs.
  • Annual Zenni Gift Card - to use towards our products!

Benefits

  • Annual bonus program
  • 100% employer-paid medical, dental, and vision (dependent coverage capped at $300/month)
  • Life, AD&D, and disability coverage (with optional add-ons)
  • Lifestyle Spending Account (wellbeing + learning)
  • Work-from-home stipend (for eligible roles)
  • Generous Flexible Time Off in addition to our Week of Zen - the time between Christmas and New Year's to relax and recuperate
  • Fully Paid Parental Leave

Company info

  • Zenni pioneered the online eyewear industry in 2003 with a mission to make eyewear affordable and accessible for everyone. With complete prescription pairs starting under $10, Zenni offers adults and children the freedom to see clearly and express themselves through a wide selection of high-quality prescription glasses, sunglasses, protective eyewear, and non-prescription frames - curated with fashion, function, and style in mind.
  • Based in the San Francisco Bay Area, Zenni has redefined the traditional retail model, emerging as the premier destination for online eyewear in the United States while surpassing 70 million frames sold globally.
  • Zenni is proud to be the Official Eyewear of the San Francisco 49ers, Columbus Crew, Monster Jam, WWE, Team Liquid, and more. Zenni has collaborated with designers and tastemakers on exclusive collections, including Chase Stokes and George and Claire Kittle. For more information, visit zenni.com.
  • Zenni pioneered the online eyewear industry in 2003 with a mission to make eyewear affordable and accessible for everyone.
  • With complete prescription pairs starting under $10, Zenni offers adults and children the freedom to see clearly and express themselves through a wide selection of high-quality prescription glasses, sunglasses, protective eyewear, and non-prescription frames - curated with fashion, function, and style in mind.
  • Zenni is proud to be the Official Eyewear of the San Francisco 49ers, Columbus Crew, Monster Jam, WWE, Team Liquid, and more.
  • Zenni has collaborated with designers and tastemakers on exclusive collections, including Chase Stokes and George and Claire Kittle.
  • For more information, visit zenni.com.
  • We are seeking a Manager, Data Analytics with a strong technical background and deep business domain expertise to partner closely with our Engagement Marketing team.

Visa & Work Authorization

  • ce and considers applications without regard to race, color, national origin, gender identity, sexual orientation, age, citizenship, marital status, disability, or Veteran status

This listing is sourced directly from Zenni Optical's careers page and normalized into a canonical job model.