data analyst

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 methodologie

Industries:Human Resources

Function: Data Science