Job summary
Job post source
This job is directly from REVOLVE
Job overview
The Buying Analyst at REVOLVE is responsible for analyzing sales data to provide insights that support the buying team in meeting business objectives.
Responsibilities and impact
Daily tasks include collecting and analyzing sales data, evaluating performance metrics, generating reports, identifying trends, and presenting actionable recommendations to improve sales results.
Experience and skills
Candidates should have a Bachelor's degree in a relevant field and 1-3 years of experience in an analytical role, with strong skills in data analysis and Excel.
Company information
REVOLVE is a contemporary fashion retailer known for its focus on luxury and aspiring-luxury fashion, providing a platform for various brands and styles.
Company overview
REVOLVE is a leading online fashion retailer that specializes in offering a curated collection of apparel, footwear, accessories, and beauty products for millennial and Gen Z consumers. Founded in 2003 by Michael Mente and Mike Karanikolas, the company has built a reputation for its trend-driven selections and influencer marketing strategies. REVOLVE generates revenue through direct-to-consumer sales on its e-commerce platform, leveraging social media and partnerships with fashion influencers to drive brand awareness and customer engagement. Notably, the company went public in 2019, marking a significant milestone in its growth trajectory.
How to land this job
Position your resume to highlight your analytical skills and experience in data analysis, particularly with sales data, as these are essential for the Buying Analyst role at REVOLVE.
Emphasize your proficiency in Excel and your ability to generate reports and interpret sales performance metrics, as these are key responsibilities of the position.
Apply through multiple channels by visiting REVOLVE's corporate site and LinkedIn to maximize your chances of being noticed for this role.
Connect with individuals in the buying or analytics division at REVOLVE on LinkedIn, and consider ice breakers such as discussing trends in the fashion industry or asking about their experiences with data-driven decision-making.
Optimize your resume for ATS systems by incorporating relevant keywords from the job description, such as 'sales data analysis,' 'report generation,' and 'fashion retail experience.'
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