Pair Eyewear Logo

Pair Eyewear

Senior Data Analyst

Posted 6 Days Ago
Hybrid
Headquarters, AZ
120K-135K Annually
Senior level
Hybrid
Headquarters, AZ
120K-135K Annually
Senior level
Lead cross-functional analyses to uncover trends and opportunities, build analytic frameworks, create and optimize BI dashboards, measure initiative impact via KPIs, and promote a data-driven culture across growth, merchandising, product, finance, wholesale, and operations.
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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.

Pair is seeking a Senior Data Analyst that will report directly to our Senior Manager of Data & Analytics. This individual should be analytical, strategic, and impact driven. This is an opportunity to work cross-functionally with various teams in the company to elevate the organization by uncovering trends and opportunities, decreasing the time to insight, and making data accessible to all.

What You’ll Do:

  • 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

Who You Are:

  • Self-starter who has a great work ethic, analytical mind, and superior problem-solving and decision-making skills

  • Excellent communication skills - someone who values building relationships and enjoys explaining complex topics in simple terms

  • Proven experience analyzing and interpreting large sets of data in eCommerce, consumer packaged goods, GTM, sales, marketing, demand planning, sales & operations planning, supply chain, or manufacturing

Need to Have:

  • 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

Nice to Have:

  • Experience with marketing attribution methods and building LTV or MMM models

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)

  • NYC dog friendly office with flexible hybrid work options (if you’re local in NYC)

At Pair, we carefully consider a wide range of factors when determining compensation. These considerations can cause your compensation to vary. The pay range for this position is expected to be between $120,000-$150,000 and 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.

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