Junior Data Analyst, Python

Job not on LinkedIn

🔥 1 hour ago

🇦🇷 Argentina – Remote

⏰ Full Time

🟢 Junior

📉 Data Analyst

🚫👨‍🎓 No degree required

👻 Ghost score 13%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Paired

WebsiteLinkedInAll Job Openings

1 - 10 employees

💼 Consulting

🎯 Recruiter

👥 HR Tech

Consulting • Recruitment • HR Tech

Paired is a strategic talent recruitment company that specializes in connecting businesses with top-tier overseas talent. They streamline the hiring process by recruiting, vetting, and presenting the best candidates for a variety of roles, allowing companies to save significantly on payroll costs. Paired focuses on placing talented individuals in various positions ranging from administrative assistants to executive roles, across diverse fields such as marketing, engineering, and sales. With a commitment to quality and cost-effectiveness, Paired offers a risk-free placement service that guarantees client satisfaction, thereby facilitating global workforce integration for its clients.

📋 Description

• Clean and normalize Excel, CSV, and Parquet datasets using Python and pandas. • Reconcile Amazon claims against invoices, purchase orders, and payment records. • Match inconsistent IDs while avoiding unsupported or ambiguous matches. • Classify discrepancies using defined recovery and reconciliation taxonomies. • Build pandas logic for underpayment checks, multi-currency analysis, and reversal matching. • Investigate unexpected results and trace discrepancies back to their source data. • Write pytest/conformance tests to validate critical data-handling logic. • Determine when incomplete data is insufficient to support a recovery claim. • Process and analyze multi-million-row datasets across approximately 170 vendor accounts. • Generate accurate Excel, CSV, and PDF recovery reports for non-technical clients. • Use AI tools as part of the daily workflow while validating outputs and results. • Contribute to improving the reliability and repeatability of reconciliation processes.

🎯 Requirements

• Solid Python fundamentals, including files, lists, dictionaries, and data structures. • Basic experience with pandas, including filtering, merging, and aggregation. • Strong attention to detail and a methodical approach to data validation. • Ability to investigate data discrepancies and explain how conclusions were reached. • Clear written English for client-facing findings and reports. • Comfortable using AI tools to support coding, analysis, and problem-solving. • Willingness to work with large and messy datasets. • Ability to make careful decisions when data is incomplete or ambiguous. • Basic SQL knowledge. • Experience with Git/GitHub. • Experience writing tests in pytest or another testing framework. • Exposure to Amazon Vendor Central, chargebacks, deductions, or retail vendor operations. • Experience working with Excel, CSV, or Parquet data at scale. • Academic or personal projects involving Python/data analysis.

🏖️ Benefits

• Remote Working for a US Company • Exposure to new technology & trend • Competitive Salary