Amazon Automotive Product Researcher

Amazon FBA Product Research Specialist - Automotive Replacement Parts

Job Description:

We are on the hunt for a skilled Amazon FBA Product Research Specialist, with a keen focus on the automotive replacement parts sub-category. In our team, your expertise will play a pivotal role in driving our expansion into new automotive subcategories.

Key Responsibilities:

Market Analysis: Conduct in-depth research on new automotive subcategories, identifying key market trends and opportunities.
Competitor Assessment: Analyze competitor brands, their product offerings, pricing strategies, and market positioning.
Financial Forecasting: Determine average sale prices, estimate initial investment costs, launch expenses, and PPC advertising costs.
Data Analysis: Utilize software tools like Helium 10 to gather and interpret data, ensuring comprehensive coverage of necessary information.
Inventory Management Insights: Evaluate inventory turnover rates and provide strategies for effective inventory management.
ROI Projections: Calculate estimated Return on Investment (ROI) for potential product launches and present these projections in an investor-friendly format.
Strategic Planning: Assist in developing strategies for product launch and market penetration based on research findings.
Qualifications:

Proven experience in Amazon FBA product research, preferably in the automotive parts sector.
Strong analytical skills with proficiency in data analysis tools like Helium 10.
Excellent communication skills, with the ability to present complex data in an easily understandable manner.
Knowledge of the automotive parts industry and current market trends.
What We Offer:

A dynamic role with a significant impact on the company's growth and strategy.
Collaboration with a passionate and innovative team.
Opportunities for professional growth and development in the e-commerce sector.
We are excited to welcome a new member to our team who shares our passion for e-commerce and has the expertise to help us make informed, data-driven decisions in the automotive replacement parts category.