Junior Data Analyst (Python) for an E-commerce company (US-based/Remote)
This is the employer's own posting, not a copy on a job board.
What we know
Is it still open?
Confirmed still open
Last checked 2d ago — checked against the employer's own applicant tracking system, which is the company answering directly.
We re-read the employer's own applicant tracking system and the posting was still there. That is the company answering directly.
How old is it?
Posted 3d ago
The date the source published, not the day we noticed it (2026-09-29). Last seen at its source 1h ago.
We have tracked this listing since 29 Sep 2026 (2 days). The employer's own board has carried it every time we have read it, most recently 1 hour ago.
Is it remote?
Marked remote on the employer's board
Their board carries a remote setting on this posting — a field they filled in, not wording we read. The location field names somewhere specific, which is usually where the team or the entity sits.
Who may apply?
Argentina
The description states no restriction of its own. This is the source's own tag.
Pay not stated
Similar roles pay $1,300–2,262/mo
Middle 50% of 12 listings that do state pay — Operations · all levels · Argentina · USD/month. This employer has published no salary; this is what comparable listings we hold disclose, never converted between currencies or periods. How this is calculated.
Skills named in the ad
Recognised terms only, from a fixed vocabulary — this is what CV matching compares against.
Carried by 1 source
-
workable employer's own board first seen 2d ago · last seen 1h ago
The listing
Paired is a global staffing and recruiting agency that pairs remote work with top-tier talent. We help individuals from around the world connect with great companies that are looking for their specific skill set. Our mission is to provide great jobs to talented people, no matter where they are located.
Our client is an e-commerce consultancy firm specializing in data analysis to enhance seller efficiency, helping online sellers boost profitability, streamline operations, recover lost revenue, and maximize advertising performance.
About the Role
We are looking for a Junior Data Scientist who enjoys figuring things out. You will help the team investigate problems in client accounts, dig into Amazon data, and surface insights that help drive financial recovery. This is an ideal role for someone early in their career who is organized, curious, and comfortable working in spreadsheets. You don’t need to know everything up front, but you should be eager to learn and able to work independently once trained.
Responsibilities
- 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.
Nice to Have
- 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