Viz & Analytics Intern: Power BI + Azure Databricks

8873 Evonik Malaysia_8873; Selangor; On-site; MYR 17,000 - 39,000; Full time

Job summary

Evonik Malaysia invites you to join a 6-month internship in Cognitive Solutions focused on data visualization and analytics using Power BI and Azure Databricks. You will gain practical experience on a small project that benefits the V&A team and learn from experienced colleagues.

Preferred candidates are studying business analytics, data analytics, data science, or statistics, with strong English communication and a passion for digitalization and agile work practices.

Qualifications

• Preferred candidates coming from studies around business analytics, data analytics, data science, statistics, or other related areas.
• Good skills in written and spoken English.
• Strong affinity in digitalization & agile working.
• Knowledge about one or more of the following tools would be an advantage: Data Analysis and Visualization (Power BI / Tableau / Google data studio, etc.), Use of Programming Languages (e.g. SQL, Python, DAX), Cloud Computing in Azure, AWS or GCP.

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 intership 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

Power BI

Azure Databricks

SQL

Python

DAX

Education

Business analytics

Data analytics

Data science

Statistics

Tools

Tableau

Google Data Studio

Job description

Evonik Malaysia invites you to join a 6-month internship in Cognitive Solutions focused on data visualization and analytics using Power BI and Azure Databricks. You will gain practical experience on a small project that benefits the V&A team and learn from experienced colleagues.

Preferred candidates are studying business analytics, data analytics, data science, or statistics, with strong English communication and a passion for digitalization and agile work practices.