Power BI & Data Analytics Intern (Student)

Everllence; København; On-site; DKK 179,000 - 234,000; Full time

Benefits offered by this job

Mobility package

CPR registration help

Work permit support

Student network

Job summary

Everllence Finance & Controlling is seeking two motivated Student BI Assistants to support data-driven insights across the organization. You will work closely with business stakeholders and the BI stack to deliver practical analytics.

You will develop Power BI reports, assist with ETL pipelines in Azure Data Factory, and gain hands-on experience with SQL Server and Python while studying part-time. Join a diverse, international team, with a student network and support for relocation; expect ~15

Qualifications

• Currently enrolled in a relevant Bachelor’s or Master’s program (Engineering, AI, Data Science, Finance or Business Analytics).
• Strong interest in data, analytics and programming (Python).
• Basic knowledge of SQL and relational databases.
• Experience with data visualisation tools such as Power BI.
• Comfortable presenting in English.
• Able to work approx. 15 hours per week.

Responsibilities

• Develop, optimize, and maintain analytical reports in Power BI.
• Provide technical support for BI applications and data solutions.
• Clean, structure, and model raw data to improve insights.
• Design and maintain ETL pipelines using Azure Data Factory.
• Create and maintain SQL Server tables, views, and queries.
• Create Python scripts for data ingestion.
• Deliver ad-hoc reports and analyses.
• Provide in-depth analysis to support decision-making.

Skills

Python

SQL

Power BI

Excel

English communication

Analytical mindset

Teamwork

Education

Bachelor’s/Master’s in relevant field

Tools

Azure Data Factory

Azure SQL Database

Databricks

Power BI

Job description

Everllence Finance & Controlling is seeking two motivated Student BI Assistants to support data-driven insights across the organization. You will work closely with business stakeholders and the BI stack to deliver practical analytics.

You will develop Power BI reports, assist with ETL pipelines in Azure Data Factory, and gain hands-on experience with SQL Server and Python while studying part-time. Join a diverse, international team, with a student network and support for relocation; expect ~15