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Data Analyst

Remote: 
Full Remote
Experience: 
Mid-level (2-5 years)
Work from: 

Offer summary

Qualifications:

2-3 years of data analysis experience, Proficiency with Amazon-specific tools, Advanced Excel skills, Bachelor’s degree in a relevant field.

Key responsabilities:

  • Conduct keyword research for product optimization
  • Analyze customer behavior and sales performance
MultiplyMii logo
MultiplyMii http://www.multiplymii.com
201 - 500 Employees
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Job description

What Are We Looking For

MultiplyMii is in search of a skilled Data Analyst to join our client’s team—a brand dedicated to elevating spaces through an exceptional selection of unique wall art, posters, and prints.

As a Data Analyst, you will drive key performance insights that enhance our client’s product visibility and competitive edge. Through KPI management, data visualization, and reporting, you will help shape impactful product and marketing strategies, directly influencing listing optimization and competitive analysis.

This role is a 100% work from home.

In This Role, You Will

  • Utilize Data Dive and other Amazon-specific tools to conduct keyword research and optimize product listings, titles, and copy to improve search rankings and conversion rates.
  • Analyze large datasets related to customer behavior, sales performance, marketing campaigns, and other KPIs across Amazon and eCommerce platforms.
  • Maintain and manage a large database of product information across thousands of SKUs, ensuring database integrity, reliability, and accuracy.
  • Collaborate with cross-functional teams to translate business goals into data-driven insights that drive product and marketing strategies.
  • Manage and track key performance indicators (KPIs), creating detailed reports and visualizations to communicate findings and actionable recommendations to management and stakeholders.
  • Perform competitive research to identify top-performing products, categories, and trends, leveraging this research to recommend new product niches and enhancements to current listings.
  • Conduct ad-hoc analysis to address specific business questions and provide timely insights.
  • Ensure data accuracy and troubleshoot data issues as needed.
  • Stay updated with industry trends, Amazon algorithms, and eCommerce best practices to inform strategies and decisions.

Your Impact

  • Optimized Amazon listings and enhanced search performance through data-driven keyword research and product copy improvements.
  • Actionable insights that contribute to business growth, better customer segmentation, and improved customer experience.
  • Increased engagement and conversions on Amazon and eCommerce platforms through effective product positioning and competitive analysis.
  • Clear and actionable KPI reports that drive informed decision-making at the management level.
  • Well-maintained and reliable databases that support informed decision-making.

About You

Core qualifications:

  • 2-3 years of data analysis experience, particularly in Amazon and eCommerce operations.
  • Proficiency with Amazon-specific tools (e.g., Data Dive) for keyword research and listing optimization.
  • Proven record of success in eCommerce listing optimization and data management across large SKU datasets.
  • Advanced Excel skills, with a talent for presenting data insights in an accessible format for diverse audiences.
  • Strong attention to detail and commitment to accuracy in data analysis and reporting.

Preferred Qualifications

  • Proficient in SQL, Python, R, Tableau, and Power BI.
  • Experienced in market research, trend analysis, and identifying competitive opportunities.
  • Inventory management experience is a plus.
  • Bachelor’s degree in a relevant field (e.g., Data Science, Business Analytics, Marketing).
  • Knowledge of Amazon’s algorithms and evolving industry best practices.

Why MultiplyMii

Come join a growing company where you'll be trusted to work independently and have influence on the evolution of the service & trajectory of the business.

This isn't an opportunity for candidates seeking a corporate, predictable set-up. This is a fast-paced team where you'll be expected to grow quickly and operate effectively in challenging environments.

  • 100% remote
  • Fringe benefits, HMO, & 13th month
  • Uncapped incentive program based on their performance

Shift and Schedule: 10 AM to 6 PM EST Monday-Friday

Required profile

Experience

Level of experience: Mid-level (2-5 years)
Spoken language(s):
English
Check out the description to know which languages are mandatory.

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