Junior Data Scientist

Work set-up: 
Full Remote
Contract: 
Experience: 
Junior (1-2 years)
Work from: 

Offer summary

Qualifications:

1-2 years of experience in financial analysis, data science, or related roles., Proficiency in Excel or Google Sheets with basic formulas., Strong attention to detail and organizational skills., Willingness to learn Amazon's financial systems and processes..

Key responsibilities:

  • Investigate issues in Amazon accounts such as incorrect fees or missing payments.
  • Analyze reports and data to identify errors or discrepancies.
  • Summarize findings clearly in documents and spreadsheets.
  • Assist in resolving client account issues and learn Amazon's financial systems.

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Catena Human Resources, Staffing & Recruiting SME https://www.pearltalent.com/
2 - 10 Employees
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Job description

About Pearl Talent

Pearl works with the top 1% of candidates from around the world and connects them with the best startups in the US and EU. Our clients have raised over $5B in aggregate and are backed by companies like OpenAI, a16z, and Founders Fund. They’re looking for the sharpest, hungriest candidates who they can consistently promote and work with over many years. Candidates we’ve hired have been flown out to the US and EU to work with their clients, and even promoted to roles that match folks onshore in the US.

Hear why we exist, what we believe in, and who we’re building for:

🧑‍💻 Why Work with Us?

We’re not just another recruiting firm—we focus on placing candidates with exceptional US and EU founders who prioritize the longterm success of their team members. We also provide retention bonuses at 3, 6, 9, and 12 months, as well as communitydriven benefits like an annual retreat.

About the company

Ahighperformance eCommerce agency that specializes in scaling Amazon brands through datadriven strategy, operational excellence, and relentless execution. With a focus on premium, whiteglove account management, the team partners with consumer product companies to optimize listings, maximize revenue, and build longterm brand equity on Amazon. Known for its resultsoriented culture and commitment to excellence.



Responsibilities

  • Investigate issues in Amazon accounts, such as incorrect fees or missing payments
  • Analyze reports, transactions, and data to identify errors or discrepancies
  • Summarize findings in clear documents and spreadsheets
  • Assist the team in resolving client account issues
  • Learn how Amazon’s financial systems work and build a deep understanding over time
  • Propose potential causes or solutions when something doesn’t look right
    • Who You Are

      • Analytical and curious, with a strong attention to detail
      • Organized and able to manage multiple tasks or problems at once
      • A clear communicator who can summarize findings and ask good questions
      • Comfortable with data and eager to build technical skills over time
      • Selfmotivated and able to stay focused on long or complex problems
        • Requirements

          • 1 to 2 years of relevant experience in financial analysis and data science, operations, or datarelated roles
          • Experience working with Excel or Google Sheets, including basic formulas and formatting
          • A track record of being organized, thorough, and reliable
          • Willingness to learn Amazon systems and ask thoughtful followup questions
            • Bonus Experience

              • Experience with Amazon Vendor Central or Seller Central
              • Exposure to audits, reconciliations, or account troubleshooting
              • Previous work with eCommerce or consumer brands
                • Benefits

                  • Unlimited Paid Time Off (after 3 months probation)
                  • Permanent WFH

Required profile

Experience

Level of experience: Junior (1-2 years)
Industry :
Human Resources, Staffing & Recruiting
Spoken language(s):
English
Check out the description to know which languages are mandatory.

Other Skills

  • Google Sheets
  • Microsoft Excel
  • Detail Oriented
  • Problem Solving
  • Self-Motivation
  • Time Management
  • Communication

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