Platform Support Intern

We look for the risk-takers, the collaborators, the inspired and the inspirational. We want the people who are brave enough to work at the cutting edge and create solutions that will enrich and improve the lives of people across the globe. So, if you want to make the world say wow, let's talk.

The conversation starts here. If this role matches your ambitions and skillset, let's get started with your application. Take a look at our other open positions too. Our many opportunities can lead to infinite possibilities.

This role offers a unique opportunity to learn how data moves from operations to analytics — and how testing ensures data-driven business decisions are reliable.

What you will be doing

• Perform data reconciliation across source systems, Snowflake tables, dbt-transformed models, and Power BI dashboards.
• Support the migration of existing dashboards to Power BI, including rebuilding visuals, measures (DAX), and dashboard logic.
• Document UAT results, track defects, maintain issue logs, and support dashboard/test documentation.

What you should have

• Pursuing a degree in Business Analytics, Information Systems, Computer Science, Engineering, or related field
• Strong analytical skills, attention to detail, and interest in data workflows
• Basic exposure to SQL; familiarity with Snowflake or other cloud data warehouses is a plus
• Interest or basic knowledge of dbt (data build tool) — understanding of concepts like models, tests, and documentation.
• Basic Experience with Power BI, or willingness to learn
• Good communication, structured documentation habits, and ability to work independently
• Positive attitude, eagerness to learn, and ability to support both UAT and BI tasks

Learning Outcomes

• Gain hands-on understanding of modern BI stack: Snowflake (data warehouse), dbt (data transformation), and Power BI (visualization).
• Learn how operational repair data is processed, transformed, and visualized across regional/global BI platforms.
• Develop practical skills in UAT execution, data validation, BI dashboard creation, and pipeline testing.
• Build professional skills in documentation, test design, defect analysis, and analytical communication.