Data Analytics Intern at Smith Nephew
Kuala Lumpur, KL, Malaysia -
Full Time


Start Date

Immediate

Expiry Date

05 Aug, 25

Salary

0.0

Posted On

05 May, 25

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Good communication skills

Industry

Information Technology/IT

Description

Data Analytics Intern - Bangsar South
Life Unlimited. At Smith+Nephew, we craft and manufacture technology that takes the limits off living.
The Data Analytics Intern collaborates with Data Analysts, Data Engineers, Analytics Managers, and Business Relationship Managers on small to medium-scale projects. The role involves designing and implementing advanced analytics solutions, including dashboards, data models, and visualizations, to provide insights and support business strategies. The intern will work with multiple data sources and tools, contributing to reporting, analysis, and data integration, while engaging with global teams for cross-functional collaboration.

Responsibilities
  • The role involves designing, developing, and deploying high-fidelity operational, strategic, and analytical reports and dashboards. These tools provide real-time visibility, track key performance indicators, and analyze trends and forecasts to support business decision-making. All implementations adhere to industry standards and best practices to ensure secure data access and system integrity.
  • A key responsibility includes building and implementing machine learning and AI capabilities to address business challenges in line with Smith & Nephew’s IT and Analytics Strategy. The role also supports and maintains the analytics user experience, overseeing dashboard content, release management, and user administration while ensuring documentation remains current and accurate.
  • Additionally, the position contributes to the Data Analytics Centre of Excellence (COE) through exploratory data analysis, prototype development, and data science research. Collaboration with Data Engineers is essential to drive automation, improve processes, and enhance productivity. The role also includes mentoring end-users and facilitating knowledge transfer through guided analytics, training materials, and support tools.
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