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Data Analyst - Loyalty

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 

 



$110,000.00 - $135,000.00 a year


Benefits and Culture


·       100 % Company Paid Healthcare (medical, dental, vision) 

·       Kind Body Fertility Benefits   

·       401(k) savings plan with up to 5% match 

·       Unlimited PTO  

·       Full Access to linked in learning 

·       Employee Discounts  

 

Perks (HQ Location)


·       Free weekly catered lunch at HQ – M/W/Th  

·       Dog-Friendly office  

·       Free Swag Giveaways  

·       Annual Holiday Party  

·       Annual Summer Party  

·       Invitations to pop-ups and other company events  

·       Complimentary daily office snacks and beverages 

 

 

SKIMS is committed to continuously creating an inclusive environment for all employees and candidates, reflective of the rich diversity of the communities we serve. Equitable workplaces foster innovation and excellence, and in our commitment to culture of belonging qualified applicants will receive consideration without regard to race, color, religion, sex, national origin, age, sexual orientation, gender identity, gender expression, veteran status, or disability. 

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CEO of SKIMS (CA)
SKIMS (CA) CEO photo
Jens Grede
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Skims is a manufacturer and retailer specializing in undergarments and loungewear designed to enhance body shape, offering a variety of bodysuits, shapewear, and underwear in styles and shades that cater to different body types.

9 jobs
BADGES
Badge Women LedBadge Diversity ChampionBadge Office Vibes
FUNDING
Series C
DEPARTMENTS
Data
SECTOR
Apparel and Fashion
TEAM SIZE
No info
LOCATION
Hybrid
DATE POSTED
September 6, 2023

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