Senior Data Analyst

About the role

In this Senior Data Analyst role at Pair Eyewear, you will report directly to the Senior Manager of Data & Analytics and become a central pillar of our analytical organization. You will thrive in a joyful and dynamic environment where your strategic thinking and analytical rigor drive meaningful business impact. This position grants you the opportunity to own complex, cross-functional questions and translate ambiguous problems into clear analytical roadmaps. You will explore our data landscape to uncover customer behavior patterns and operational inefficiencies that unlock new opportunities. A core part of your mission will be to build and maintain analytical frameworks that make data accessible and actionable for every department. You will act as a key partner to leadership, providing evidence-based recommendations that shape strategic priorities and guide resource allocation. This role demands a self-motivated professional who can communicate intricate findings to both technical and non-technical audiences with clarity and confidence. Ultimately, you will foster a data-first culture by upgrading our reporting infrastructure and ensuring our measurement practices are robust and aligned with long-term goals.

Key facts

What you'll do

• Partner with executives and operations teams to define business priorities and uncover areas for data-driven optimization.
• Design and develop foundational analytic models that clarify complex business questions and establish a consistent framework for measurement.
• Conduct in-depth explorations of customer behavior and operational data to surface actionable insights that enhance the end-user experience.
• Translate sophisticated analytical findings into clear, evidence-based recommendations for both technical and non-technical stakeholders.
• Lead the evaluation and optimization of our existing reporting tools and frameworks to ensure they meet evolving strategic demands.
• Refine our analytics stack within our BI platforms, focusing on scalability, performance, and best practices for modern data environments.
• Establish rigorous tracking mechanisms for key performance indicators to evaluate the success of initiatives across the customer journey.
• Collaborate closely with cross-functional partners to integrate data quality checks and standardize definitions across all data sources.
• Guide strategic decisions by analyzing the impact of marketing, product, and operational changes using robust statistical methods.
• Champion a data-first mindset by documenting methodologies and empowering other teams to leverage data confidently in their workflows.
• Identify and prototype new analytical approaches that reduce manual effort and improve the efficiency of our data processes.
• Maintain a deep understanding of our data warehouse architecture to ensure optimal query performance and data integrity.
• Support the implementation of LTV and MMM models to provide deeper insights into customer lifetime value and marketing effectiveness.
• Serve as a subject matter expert on analytics best practices, mentoring junior analysts and elevating the overall capability of the team.

Requirements

• Hold a minimum of five years of professional experience in quantitative analysis, data science, or a closely related field.
• Demonstrate advanced proficiency in SQL, Python, and dbt to manipulate, transform, and model complex datasets.
• Show a proven track record of designing and implementing dashboards using BI tools such as Hex or Looker.
• Possess familiarity with modern data warehouse platforms, including Snowflake, Amazon Redshift, or Google BigQuery.
• Exhibit strong problem-solving abilities when working with ambiguous, unstructured data sets that require innovative solutions.
• Communicate analytical concepts in a clear and persuasive manner to influence stakeholders without direct authority.
• Have experience working in fast-paced environments where priorities shift and multiple projects must be managed simultaneously.
• Understand the importance of data governance and be committed to maintaining high standards of accuracy and reliability in all analyses.

Nice to have

• Bring prior experience with marketing attribution techniques to refine how we understand channel performance.
• Contribute background in building LTV or MMM models to enhance our strategic understanding of customer behavior.

Practical notes

This role is based in our New York City office, which is dog-friendly and offers flexible hybrid work arrangements for local candidates.