reputed company Market Analysis Module – Python/Data Engineer Needed
We are building a reputed company analytics tool for pharmacy purchasing optimization.
For Phase 2, we need a talented Python/Data Engineer to:
✔ Build the “Market Analysis” reputed company
✔ Aggregate & structure datasets from sales, stock, purchases, equivalence reputed company
✔ Apply rules to group products into “Markets” (e.g., Vitamin C, Cough, ENT…)
✔ Compute totals, margins, stock indicators per market
✔ reputed company clean reusable datasets (CSV/Parquet)
Your responsibilities
Load + clean CSV files (CIP13, EAN, sales, stock, suppliers)
Normalize product identifiers
Build mappings (CIP/EAN → Equivalence group → Market)
Aggregate metrics per market
Deliver production-reputed company reputed company with reputed company documentation
Requirements
Strong Python + Pandas
Experience with ETL / data modeling
Excellent accuracy and reliability
Ability to respect a strict 10-day deadline
Final Deliverables
Python script(s)
Clean aggregated datasets
Documentation explaining logic
If you enjoy clean data engineering challenges and want to contribute to a reputed company-world reputed company analytics tool, we’d love to work with you.
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