Senior Manager of Analytics
Pair Eyewear
Location
Remote
Employment Type
Full time
Location Type
Remote
Department
Data Analytics
At Pair Eyewear, we believe in placing our people at the center of everything we do. We are dedicated to fostering a joyful and dynamic workplace, providing our employees with an environment where they can thrive and make a meaningful impact.
We are seeking a Senior Manager of Analytics to lead our analytics function and support data-driven decision-making across the business. Reporting to our Head of Data & Analytics, this role will manage a team of analysts and work closely with stakeholders across Growth Marketing, Manufacturing, Operations, Customer Experience, and more. This is a high-impact, strategic role for a leader who is passionate about uncovering insights, optimizing performance, and building a scalable analytics function.
What You’ll Do:
Lead and grow the analytics team, providing coaching, mentorship, and technical guidance to develop high-performing analysts
Own analytics strategy for multiple functions—Marketing, Operations, Manufacturing, and CX—focused on revenue growth, retention, and operational efficiency
Partner with business leaders to translate strategic objectives into analytical frameworks and clear KPIs
Develop and champion a data-driven culture, ensuring high-quality, accessible insights are embedded into daily decision-making
Guide cross-functional efforts to evolve our BI reporting infrastructure in Looker and other tools, prioritizing automation, usability, and scalability
Oversee cohort and funnel analysis, experimentation design, and predictive modeling efforts to uncover key growth levers
Drive roadmap prioritization for analytics initiatives and communicate impact clearly to executive stakeholders
Collaborate with Data Engineering on model development, data hygiene, and metric governance
Stay ahead of industry trends, tools, and techniques to elevate the analytics function and bring innovative solutions to the business
Who You Are:
Proven leader with experience managing analytics professionals and building strong cross-functional relationships
Thoughtful communicator who can influence at all levels of the organization and make complex data easy to understand
Strategic thinker who can balance long-term vision with day-to-day execution
Naturally curious, highly analytical, and motivated by uncovering new insights and driving real business outcomes
Passionate about building scalable systems and processes that improve decision-making across the business
Need to Have:
5+ years of experience in data analytics, including 2+ years managing a team
Advanced proficiency in SQL, including complex joins, window functions, and CTEs
Experience working with modern data warehouse environments such as Snowflake, Redshift, or BigQuery
Strong experience with BI tools such as Looker, Power BI, or Tableau
Familiarity with ELT and data modeling concepts (dbt, Stitch or similar tools)
Background in eCommerce, CPG, or operational analytics (marketing, supply chain, S&OP, or manufacturing)
Nice to Have:
Experience with LookML
Proficiency in Python or R for advanced analytics or modeling
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Prior experience at a high-growth DTC brand
Some Benefits and Perks of Working At Pair:
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)
At Pair, we carefully consider a wide range of factors when determining compensation. These considerations can cause your compensation to vary. The pay range will depend on your skills, qualifications, and experience. Additionally, this role might be eligible for discretionary short-term and long-term incentives. We encourage all interested candidates to apply.
Pair is an equal opportunity employer. All qualified applicants will receive consideration for employment and will not be discriminated against on the basis of actual or perceived age, ancestry, citizenship, color, disability, familial status, family responsibilities, gender identity/expression, genetic information, marital status, matriculation, national origin, personal appearance, political affiliation, pregnancy or related condition (including breastfeeding), race, religion, sex, sexual orientation, socioeconomic status, veteran status, or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements.