Remote Warehouse Data Analyst: Drive Efficiency with Data

Placements24

Klerksdorp

Hybrid

ZAR 350,000 - 600,000

Full time

2 days ago
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Benefits offered by this job

Competitive salary
Performance bonus
Fully remote
Health benefits
Development budget
Analytics tools

Job summary

Placements24 is seeking a skilled Remote Warehouse Data Analyst to transform raw warehouse data into actionable insights, optimizing inventory, shipping, and overall warehouse performance. The role supports data-driven decision-making across South Africa with BI dashboards and reports.

The ideal candidate leverages SQL, Python or R for analysis and visualizes data with Tableau or Power BI, collaborating with logistics teams to drive efficiency and cost reductions.

Qualifications

  • Bachelor's degree in a quantitative field required.
  • Experience with SQL, Python or R for data analysis.
  • Experience visualizing data with Tableau or Power BI.

Responsibilities

  • Collect, clean, and organize large warehouse and logistics data.
  • Analyze data to identify trends and inefficiencies in inventory, shipping, and receiving.
  • Develop dashboards and reports to visualize KPIs and metrics.
  • Provide data-driven recommendations to optimize layouts and resources.
  • Collaborate with warehouse and logistics teams to deliver insights.
  • Stay updated on data analysis techniques for SCM warehousing.

Skills

SQL
Python (Pandas/NumPy)
R
Data visualization
Analytical thinking

Education

Bachelor's degree in Data Science, Statistics, Computer Science, Logistics, or related quantitative field

Tools

Tableau
Power BI

Job description

Placements24 is seeking a skilled Remote Warehouse Data Analyst to transform raw warehouse data into actionable insights, optimizing inventory, shipping, and overall warehouse performance. The role supports data-driven decision-making across South Africa with BI dashboards and reports.

The ideal candidate leverages SQL, Python or R for analysis and visualizes data with Tableau or Power BI, collaborating with logistics teams to drive efficiency and cost reductions.

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