Remote Logistics Data Analyst - Insights & Optimization

Placements24

Soweto

Hybrid

ZAR 480,000 - 750,000

Full time

4 days ago
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Benefits offered by this job

Remote-first culture
Medical & retirement benefits
Professional development opportunities

Job summary

Placements24 is seeking a Remote Logistics Data Analyst to empower data-informed decisions across transportation, warehousing, and last-mile delivery. You will collect, clean, and analyze large datasets, develop dashboards, and deliver insights to optimize efficiency and reduce costs in a remote-first environment.

The role requires strong SQL and Python (Pandas) or R skills, experience with Tableau/Power BI, and a solid understanding of logistics concepts.

Qualifications

  • Bachelor's degree in a quantitative field such as Data Science, Statistics, Mathematics, Computer Science or Logistics.
  • Proven experience as a Data Analyst with a focus on logistics or supply chain operations.
  • Strong proficiency in SQL, Python (Pandas/NumPy) or R.
  • Experience with data visualization tools like Tableau, Power BI, Looker.

Responsibilities

  • Collect, clean, and analyze logistics data from multiple sources (TMS, WMS, ERP).
  • Identify bottlenecks, cost drivers, and improvement opportunities.
  • Create dashboards and reports to visualize key logistics metrics (delivery times, costs, inventory turnover).
  • Provide actionable insights to logistics and operations teams.
  • Define data requirements and KPIs for new initiatives.
  • Apply statistical methods to forecast trends and outcomes.

Skills

SQL
Python (Pandas)
R
Data modeling

Education

Bachelor's degree in Data Science/Statistics/CS/Logistics

Tools

Tableau
Power BI
Looker

Job description

Placements24 is seeking a Remote Logistics Data Analyst to empower data-informed decisions across transportation, warehousing, and last-mile delivery. You will collect, clean, and analyze large datasets, develop dashboards, and deliver insights to optimize efficiency and reduce costs in a remote-first environment.

The role requires strong SQL and Python (Pandas) or R skills, experience with Tableau/Power BI, and a solid understanding of logistics concepts.

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