Key Responsibilities

• Analyze production, quality control, and supply chain data to identify inefficiencies and improvement opportunities.
• Develop real-time dashboards (Power BI/Tableau) to track KPIs such as output rates, defect trends, and resource utilization.
• Conduct root-cause analysis for production bottlenecks, downtime, or waste.
• Collaborate with engineering, operations, and finance teams to align data insights with business objectives.
• Conduct predictive maintenance initiatives using historical equipment performance data.
• Ensure data accuracy across ERP, MES, and manufacturing systems.
• Prepare reports and presentations that communicate findings to stakeholders.

Education, Qualifications & Experience required

• Bachelor’s degree in Computer Science, Economics, Statistics, or related field.
• 4+ years in data analysis, preferably in manufacturing, supply chain, or industrial settings.
• Proficiency in SQL, Python/R, Advanced Excel (pivot tables, Power Query) and BI tools (Power BI, Tableau).
• Experience with manufacturing data sources (ERP systems like SAP, Oracle).
• Knowledge of statistical analysis and predictive modelling.

Key skills and competencies

• Excellent communication skills, with the ability to communicate technical information to non-technical stakeholders
• Strong problem-solving skills, with the ability to identify and mitigate risks associated with process improvement projects
• Ability to work collaboratively in a team-oriented environment
• Adaptable and open to learning new tools and methodologies