Intern - Data Analytics

Intern ‐ Data Analytics

(Based at MAS Fabric – Matrix - Thulhiriya)

MAS Matrix, is a diversified flat-knit apparel manufacturing facility under MAS Holdings. Matrix houses 1000 Stoll flatbed machines offerings athleisure wear, performance wear, essentials and knit components for global brands such as Nike, Decathlon, Gymshark, Lacoste, Victoria's Secret and Stoko. Changing business dynamics prompted Matrix to explore innovative product solutions that go beyond the traditional realm of sweaters, launching its latest product platform, MVTM, a collection of highly functional, versatile, and fashion-forward designs.

Empower transformation by becoming a driving force of change at MAS. We are on the lookout for a dedicated individual how is a detail-oriented and analytical Intern – Data Analyst to support digital transformation initiatives within the Quality Assurance function. The intern will play a key role in converting manual quality systems into data-driven, digital solutions while assisting in dashboard creation, reporting, and process automation.

This internship provides hands-on exposure to data analytics, business intelligence tools, and quality process digitalization in a dynamic corporate environment.

KEY RESPONSIBILITIES

• Support digitalization initiatives within the Quality Assurance department.

• Assist in converting manual systems and reporting processes into digital platforms.

• Develop and maintain interactive dashboards using Power BI.

• Perform advanced data analysis using Microsoft Excel (Pivot Tables, Power Query, formulas, data modeling).

• Generate and manage QR codes for process tracking and documentation purposes.

• Conduct statistical analysis using SPSS where required.

• Collect, clean, and analyze quality-related data to identify trends and improvement opportunities.

• Prepare reports and present insights to stakeholders.

• Support continuous improvement initiatives through data-driven recommendations.

KNOWLEDGE AND SKILLS

• Currently pursuing or recently completed a Degree in: Computer Science, Data Science, Business Analytics, Information Systems or a related field
• Strong knowledge of Power BI.
• Advanced proficiency in Microsoft Excel.
• Basic to intermediate knowledge of SPSS.
• Understanding of data visualization and dashboard development.
• Strong analytical and problem-solving skills.
• Good communication and presentation skills.