Data-Driven Supply Chain Analyst (Hybrid)

Salt Digital Recruitment

Cape Town

Hybrid

ZAR 420,000 - 700,000

Full time

9 days ago
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Benefits offered by this job

Hybrid work environment
Cape Town Head Office

Job summary

Salt Digital Recruitment is seeking a data analytics professional to join the Supply Chain Analytics team in Cape Town. You will provide data-driven support to SCM, Logistics, and Omnichannel teams, build models, and translate data into actionable insights.

The role involves blending Excel, Python, SQL, and Qliksense to uncover opportunities, contribute to improvement initiatives, and work in a hybrid environment at the Cape Town head office with occasional travel.

Qualifications

  • Bachelor's degree in Industrial Engineering, Data Engineering, Mathematics, or Statistics.
  • Master's degree advantageous but not required.
  • 1–5 years' experience in data analytics or data science.

Responsibilities

  • Provide data analytics support to the Supply Chain, Logistics, and Omnichannel teams to enable informed, data-led decisions.
  • Build and maintain data models to simulate scenarios or improvement opportunities.
  • Translate complex data into clear, actionable insights through impactful visualisation using descriptive analytics to communicate to stakeholders across various levels of the organisation.
  • Structuring and driving the implementation of improvement initiatives alongside the Supply Chain management team.

Skills

Data analytics methodologies
Regression
Optimization
Classification
Forecasting
Clustering
Excel
Python
SQL
Qliksense
Business acumen

Education

Bachelors in Industrial Engineering / Data Engineering / Mathematics / Statistics
Masters degree (advantageous)

Tools

Excel
Python
QlikSense
SQL

Job description

Salt Digital Recruitment is seeking a data analytics professional to join the Supply Chain Analytics team in Cape Town. You will provide data-driven support to SCM, Logistics, and Omnichannel teams, build models, and translate data into actionable insights.

The role involves blending Excel, Python, SQL, and Qliksense to uncover opportunities, contribute to improvement initiatives, and work in a hybrid environment at the Cape Town head office with occasional travel.

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