SKIMS is a solutions-oriented brand creating the next-generation of underwear, loungewear, and shapewear.
We set new standards with our game-changing product and are a driving force within pop-culture. We are looking for a Data Analyst to join us in advancing the industry forward.
The Role
We are looking for a Data Analyst to be a founding member of our Data, Insights, and Loyalty team. In this role you will partner with stakeholders across the company to leverage analytics to drive the business and better serve our customers, primarily with a focus on the SKIMS loyalty program. This role is also critical in building data products and dashboards to empower data-driven decision making across the organization.
Primary Responsibilities
● Consult with leaders across the business to develop analytic roadmaps with particular emphasis on insights that accelerate growth, primarily with a focus on the SKIMS loyalty program
● Perform analyses that enable a wide range of stakeholders deepen their quantitative understanding of their business, with a particular emphasis on insights that accelerate growth
● Develop dashboards and reporting that empower self-service, data-driven decision making
● Work with our technology partners and data engineers to ensure high-quality, usable data are captured to support reliable business analytics
● Build scalable methodology and tools to accelerate development of our data and analytics practice
Qualifications
● 3-5 years experience in a business analytics or data science role, preferably working in a direct-to-consumer business
● Demonstrated ability to independently plan and execute repeatable analyses and recommend actionable strategy
● Strong communicator who easily bridges the gap between data and business owners
● Creative thinker, adept at understanding an array of retail analytics use cases that and identifying the data necessary to make them a reality
● Direct experience with experimentation design and A/B test measurement highly desirable
● Excellent SQL skills with experience using statistical programming languages (Python, R, etc.) to manipulate data and draw insights from large datasets
● Experience creating executive-level dashboards using visualization tools like Looker (highly desired), Tableau, or PowerBI
● Demonstrated success working in a fast-paced, swiftly-changing startup environment
● BA/BS in Math, Economics, Statistics, Analytics, Data Science, or other quantitative field highly desirable
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