Power BI & Azure Databricks Intern | Hybrid Work

Evonik; Selangor; Hybrid; MYR 13,000 - 20,000; Part time

Benefits offered by this job

Hybrid work model

Job summary

Evonik Malaysia is offering a 6-month internship focused on Cognitive Solutions, data visualization, and analytics. You'll explore Power BI and Azure Databricks, contributing to a small project that benefits the V&A team while learning in a hands-on environment.

Preferred candidates are studying business analytics, data analytics, or related fields with strong English skills and an interest in digitalization and agile work practices.

Qualifications

• Preferred candidates coming from studies in business analytics, data analytics, data science, statistics, or related areas.
• Good skills in written and spoken English.
• Strong affinity for digitalization and agile working.
• Knowledge about data analysis and visualization tools (Power BI, Tableau, Google Data Studio) and programming languages (SQL, Python, DAX); cloud computing (Azure, AWS, or GCP) is advantageous.

Responsibilities

• Get to know Cognitive Solutions and its responsibilities within an internship of 6 months.
• Get to know Power BI and Azure Databricks functionalities with regard to data visualization and analytics.
• Responsible to work on a small project within the duration of the internship that brings a benefit to V&A.
• Support and provide input to the team in ongoing use case developments for learning.
• Bring in knowledge and experience from latest developments in the data visualization and analytics areas.

Skills

English

Digitalization & agile

Analytical mindset

Education

Business analytics / data analytics / data science / statistics

Tools

Power BI

Tableau

Google Data Studio

SQL

Python

DAX

Azure

AWS

GCP

Job description

Evonik Malaysia is offering a 6-month internship focused on Cognitive Solutions, data visualization, and analytics. You'll explore Power BI and Azure Databricks, contributing to a small project that benefits the V&A team while learning in a hands-on environment.

Preferred candidates are studying business analytics, data analytics, or related fields with strong English skills and an interest in digitalization and agile work practices.