Remote Production Data Analyst: Drive Efficiency & Insight

Placements24; Pretoria; Hybride; ZAR 420 000 - 720 000; Plein temps

Avantages offerts par ce poste

Competitive salary

Remote work

Health insurance

Professional development

Inclusive remote team culture

Résumé du poste

Placements24 is seeking a highly analytical Remote Production Data Analyst to join their distributed team. You will collect, interpret, and report on production data to identify trends, improve efficiency, and support strategic decisions in a fully remote environment.

You will develop dashboards using Excel, SQL, Python/R, Tableau, and Power BI, and collaborate with production managers to translate data into actionable recommendations that drive performance and cost savings.

Qualifications

• Proven experience as a Data Analyst, preferably in manufacturing or production.
• Strong proficiency in Excel, SQL, Python or R.
• Experience with BI and data visualization tools (Tableau, Power BI).
• Excellent analytical, problem-solving and communication skills.
• Ability to work independently in a remote setting.

Responsabilités

• Collect and organize production data from various sources with accuracy.
• Analyze production metrics, identify trends, and report on KPIs.
• Develop dashboards and visualizations for stakeholders.
• Collaborate with production teams to provide data-driven recommendations.
• Identify inefficiencies and potential cost savings in production processes.
• Stay updated on data analysis tools and methodologies for manufacturing operations.

Connaissances

Analytical thinking

Problem solving

Time management

Independent worker

Strong communication

Outils

Excel

SQL

Python

R

Tableau

Power BI

Description du poste

Placements24 is seeking a highly analytical Remote Production Data Analyst to join their distributed team. You will collect, interpret, and report on production data to identify trends, improve efficiency, and support strategic decisions in a fully remote environment.

You will develop dashboards using Excel, SQL, Python/R, Tableau, and Power BI, and collaborate with production managers to translate data into actionable recommendations that drive performance and cost savings.