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Intern - Data Analytics at MAS Holdings
Thalahena, Western Province, Sri Lanka -
Full Time

Start Date

Immediate

Expiry Date

28 Jun, 26

Salary

0.0

Posted On

30 Mar, 26

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Data Analytics, Data Cleaning, Data Analysis, Dashboard Development, Reporting, Data Accuracy, Data-Driven Decision-Making, Problem-Solving, Data Management, Data Visualization, Presentation, Communication, Project Management, Interpersonal Skills

Industry

Apparel & Fashion

Description
Intern – Data Analytics (Based at Malabe) MAS is Sri Lanka’s largest exporter and South Asia’s largest design-to-delivery solution providers in apparel and textile manufacturing. With a global community of 100,000, today, MAS spans across 13 countries with its portfolio expanding into wearable technology, FemTech, logistics and fabric parks worldwide. Over three decades, MAS has gained global recognition for its ethical and sustainable working environment as well as its impeccable craftsmanship and product excellence. Key Responsibilities * Support HR analytics initiatives by collecting, cleaning, and analyzing employee data. * Assist in developing and maintaining dashboards and reports related to HR metrics (e.g., absenteeism, recruitment, performance). * Work with different teams to understand data requirements and ensure data accuracy. * Generate insights to support data-driven decision-making in HR Qualifications, Experience, Skill, and Competencies: * Graduate or Undergraduate in Data Analytics, Business Analytics, Statistics, Computer Science, HR, or a related field. * Strong analytical and problem-solving skills. * Knowledge on data management and visualization * Presentation & communication skills. * Project management and interpersonal skills
Responsibilities
The intern will support HR analytics initiatives by collecting, cleaning, and analyzing employee data, while also assisting in developing and maintaining dashboards and reports related to HR metrics. They will work with teams to understand data requirements and generate insights to support data-driven decision-making in HR.