Senior Data Analyst
Company
Pair Eyewear
Location
Remote
Type
Full Time
Job Description
At Pair Eyewear, we’re building the largest global eyecare company in the world focused on bringing personalization to the end to end eyecare experience, starting with your glasses. We’ve developed the first personalized eyewear brand where glasses can be an extension of your personality, mood, and interests. With funding from leading venture capitalists in the consumer space, partnerships in the entertainment, sports, and fashion arenas, and a team of passionate individuals, we’re on a mission to completely revolutionize the eyewear industry. We’re excited that we already have the support of Good Morning America, The Today Show, Oprah Magazine, CNN, and Forbes helping us share our story.
Pair is seeking a Senior Data Analyst that will report directly to our Manager of 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, merchandise planning, digital product, finance, 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, from working with engineers on data models, to ensuring that all decisions accurately utilize the most powerful data available
- Work cross-functionally to upgrade and optimize our reporting framework in Looker 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:
- 3+ years of experience in quantitative analysis roles
- Advanced skills in SQL, e.g. aggregate functions, window functions, CTEs
- Experience creating dashboards in BI tools such as Looker, Power BI or others
- Experience working in Snowflake, Amazon Redshift, Google BigQuery or similar data warehouse environments
Nice to Have:
- Additional experiences and qualifications that are not required
- R / Python is a plus
- Experience with LookML & dbt is a plus
- Experience at other DTC brands
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 for this position is expected to be between $130,000-$135,000 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.
Date Posted
12/05/2023
Views
13
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