Data Analytics & BI Student Assistant (Part-Time)

Everllence; Roskilde; On-site; DKK 123,000 - 167,000; Part time

Benefits offered by this job

Mobility package (CPR registration,税,和

Student Network

Relocation support

Job summary

Everllence Finance & Controlling seeks two student assistants to support financial and business insights through data. You will join our BI team, collaborating with stakeholders and the data infrastructure.

This role provides hands-on experience with Power BI, Azure Data Factory, SQL Server, Python, and reporting in a multinational setting. We offer relocation support including CPR registration and the Everllence Student Network.

Qualifications

• Enrolled in Bachelor's (late stage) or Master’s in a relevant field (e.g., Engineering, AI, Data Science, Finance or Business Analytics).
• Strong interest in data, analytics and programming (e.g., Python).
• Excellent analytical skills and ability to work with data to solve real-world problems.
• Comfortable communicating in English.
• Able to work approx. 15 hours per week.
• Experience with Power BI or data visualization is a plus.
• Knowledge of SQL and relational databases.

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 analytical insights.
• Design and maintain ETL pipelines using Azure Data Factory.
• Create and maintain tables, views, and queries in SQL Server.
• Create and maintain Python scripts for data ingestion.
• Deliver ad‑hoc reports and analyses as required.
• Provide in‑depth analysis to support business decision‑making.

Skills

Power BI

Python

SQL

Excel

Data visualization

Education

Bachelor's/Master in relevant field (e.g., Engineering, AI, Data Science, Finance, Business Analytics)

Tools

Azure Data Factory

SQL Server

Azure SQL Database

Databricks

Job description

Everllence Finance & Controlling seeks two student assistants to support financial and business insights through data. You will join our BI team, collaborating with stakeholders and the data infrastructure.

This role provides hands-on experience with Power BI, Azure Data Factory, SQL Server, Python, and reporting in a multinational setting. We offer relocation support including CPR registration and the Everllence Student Network.