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OGI Eyewear

Senior Data Analyst

OGI Eyewear

Senior Data Analyst responsible for collaborating across departments to enhance data-driven decision making. Will document insights and build a data-driven culture at Pair Eyewear.

Posted 7/2/2026full-timeNew York City • New York • 🇺🇸 United StatesSenior💰 $120,000 - $135,000 per yearWebsite

Tech Stack

Tools & technologies
Amazon RedshiftBigQueryPythonSQL

About the role

Key responsibilities & impact
  • Collaborate with stakeholders in our growth marketing, merchandising, digital product, finance, wholesale and operations departments to define business questions and identify opportunities for data-driven improvements
  • Play a critical role in attacking opaque, unstructured problems; develop core analytic frameworks that shape the way the company thinks about our business
  • Dive head first into our data to uncover insights that can improve the customer experience, drive revenue, or cut costs for the business
  • Document and communicate data insights and recommendations to stakeholders across the company and advocate for a data-driven culture internally and externally
  • Build a data-driven culture throughout the organization to ensure that all decisions accurately utilize the most powerful data available
  • Work cross-functionally to upgrade and optimize our reporting framework in our BI tools and measure initiatives' impact by tracking KPIs

Requirements

What you’ll need
  • 5+ years of experience in quantitative analysis or data science roles
  • Advanced skills in SQL, Python and dbt
  • Experience creating dashboards in BI tools such as Hex, Looker, or others
  • Experience working in modern data warehouse environments, e.g. Snowflake, Amazon Redshift, Google BigQuery or similar

Benefits

Comp & perks
  • Health, vision and dental insurance
  • Generous vacation policies
  • Competitive salaries with equity opportunities
  • Retirement savings plan options
  • Free eyewear (plus discounts for family and friends)
  • NYC dog friendly office with flexible hybrid work options (if you’re local in NYC)

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Hard Skills & Tools
Quantitative AnalysisData ScienceSQLPythonDashboard CreationKPI TrackingData InsightsAnalytic FrameworksData-Driven ImprovementsUnstructured Problem Solving
Soft Skills
CollaborationCommunicationAdvocacy