Senior Data Analyst - Supply Chain Analytics (Remote)

Placements24; Centurion; Híbrido; ZAR 700.000 - 1.000.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Remote work allowance

Health insurance

Paid time off

Professional development budget

Impactful projects

Descripción de la vacante

Placements24 is seeking a Senior Data Analyst to join a remote-first team focused on optimizing FMCG supply chain operations. You will extract, analyze, and interpret complex datasets to forecast demand, improve inventory, and drive data-informed decisions across procurement and logistics.

Proactive problem-solver with strong skills in SQL, Python or R, and data visualization will thrive as you build dashboards and predictive models.

Formación

• Master's or PhD in Data Science, Statistics, OR related quantitative field.
• 5+ years of experience in data analytics with a focus on supply chain.
• Proficient in SQL, Python or R for data manipulation and analysis.
• Experience with Tableau/Power BI/Looker for visualization.
• Strong statistical modeling, forecasting, and communication in a distributed team.

Responsabilidades

• Analyze large datasets related to supply chain operations (inventory, transit times, supplier performance).
• Develop dashboards and reports to visualize KPIs for SCM.
• Identify trends and anomalies to drive cost reductions and efficiency gains.
• Collaborate with supply chain managers to translate business needs into analytics requirements.
• Build predictive models for demand forecasting and inventory optimization.
• Present findings to technical and non-technical audiences.

Conocimientos

Data analysis

Forecasting methods

Statistical modeling

Communication

Remote collaboration

Educación

Master's or PhD in Data Science / Statistics

Herramientas

SQL

Python

R

Tableau

Power BI

Looker

Descripción del empleo

Placements24 is seeking a Senior Data Analyst to join a remote-first team focused on optimizing FMCG supply chain operations. You will extract, analyze, and interpret complex datasets to forecast demand, improve inventory, and drive data-informed decisions across procurement and logistics.

Proactive problem-solver with strong skills in SQL, Python or R, and data visualization will thrive as you build dashboards and predictive models.