Lead Data Analyst - Retail Inventory & AI Insights

MR DIY Malaysia

Seri Kembangan

Sur place

MYR 60 000 - 110 000

Plein temps

Il y a 6 jours
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Résumé du poste

MR D.I.Y. is seeking a data analytics professional to tackle complex retail inventory, replenishment and allocation challenges across stores and warehouses. You will own end-to-end analysis from data identification to actionable recommendations, using SQL, Python/pandas and BI tools to process and visualise large datasets.

You will validate results, prepare clear reports for diverse audiences, and proactively identify issues while exploring AI and automation opportunities.

Qualifications

  • Bachelor's degree or above in data analytics or related field.
  • Strong SQL, Python/pandas and advanced Excel skills.
  • Experience with BI tools (Power BI, Looker Studio) is a plus.
  • Ability to work with large datasets and perform data validation.

Responsabilités

  • Analyse complex retail inventory, replenishment and allocation problems across stores, SKUs and warehouses.
  • Take ownership from data identification through findings, recommendations and follow-up.
  • Use SQL, Python/pandas, Excel and BI tools to process, analyse and visualise large datasets.
  • Validate data and results with cross-checks before informing decisions.
  • Prepare clear reports and presentations for varied technical audiences.
  • Identify issues proactively and explore AI/automation opportunities.

Connaissances

SQL
Python/pandas
Advanced Excel
BI tools

Formation

Bachelor's degree or above

Outils

Power BI
Looker Studio

Description du poste

MR D.I.Y. is seeking a data analytics professional to tackle complex retail inventory, replenishment and allocation challenges across stores and warehouses. You will own end-to-end analysis from data identification to actionable recommendations, using SQL, Python/pandas and BI tools to process and visualise large datasets.

You will validate results, prepare clear reports for diverse audiences, and proactively identify issues while exploring AI and automation opportunities.

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