Product Research Specialist (Shoes, Clothing, & Accessories)

We are a dynamic shoe brand poised for expansion into clothing and accessories. We’re searching for an experienced Product Research Specialist with a knack for data scraping and a sharp eye for market trends. Your primary responsibility will be to identify potential products from platforms like AliExpress, Alibaba, and other e-commerce sites that align with our product lists and expansion goals. The ideal candidate will bring a strategic approach to sourcing items, focusing on profitability, quality, and alignment with our brand’s vision.

Responsibilities:

– Conduct detailed market research on e-commerce platforms (AliExpress, Alibaba, etc.) to identify potential products for our shoe line and upcoming clothing and accessories range.
– Utilize data scraping techniques to gather and analyze product information, including pricing, quality, and customer feedback.
– Evaluate product potential based on profitability, market demand, and alignment with our brand identity.
– Maintain a pulse on industry trends and consumer preferences to recommend products that will enhance our catalog and appeal to our target audience.
– Generate weekly reports summarizing research findings, insights, and recommendations for potential product additions.

Requirements:

– Proven experience in product research and data scraping within the e-commerce sector, specifically related to shoes, clothing, and accessories.
– Demonstrated ability to identify market trends and evaluate product potential based on qualitative and quantitative data.
– Strong analytical skills and proficiency in tools and techniques for data scraping and analysis.
– Excellent organizational skills to manage research findings and report on them efficiently.
– Extensive knowledge of e-commerce platforms like AliExpress and Alibaba.
– Ability to work flexibly and adapt to changing market conditions and brand needs.
– Strong communication skills, with the ability to generate clear and concise reports on a weekly basis.

Pay Rate: $4 per hour

Application Process:

Please submit your resume, cover letter, and any relevant work samples or case studies demonstrating your experience in product research and data scraping. Highlight specific projects where you’ve successfully identified and evaluated products for e-commerce brands, particularly within the shoe, clothing, and accessory sectors.