Student Data & Analytics Scholar: BluePool & Governance

Nordic RCC A/S; København; On-site; DKK 120,000 - 180,000; Full time

Benefits offered by this job

Flexible student position

Exposure to large-scale data projects

International environment with Nordic-

Insight into data governance and digit

Skill-building in data analytics

Friendly and collaborative team

Job summary

Nordic RCC, based in Copenhagen, is seeking a Student Assistant to support the Data & Analytics team. You will help maintain the BluePool analytics platform, contribute to data governance, and assist with documentation and onboarding.

Ideal candidates are enrolled in a university program (data science, CS, engineering or related fields), are detail oriented, and eager to learn by collaborating with data scientists, data engineers and analytics specialists.

Qualifications

• Currently enrolled in a relevant university programme (data science, CS, engineering, information management, business analytics, economics, mathematics).
• Strong organizational skills and ability to document processes clearly.
• Willingness to learn and support colleagues with day-to-day needs.

Responsibilities

• Assist with onboarding and access administration for the BluePool analytics platform.
• Maintain onboarding guides and user documentation.
• Support training sessions and workshops.
• Gather and track user feedback and support governance activities.
• Prepare presentations and communication materials.

Skills

Microsoft Office

Documentation

Attention to detail

Education

Enrolled in university program (data science / CS / engineering)

Tools

Python

SQL

Power BI

Job description

Nordic RCC, based in Copenhagen, is seeking a Student Assistant to support the Data & Analytics team. You will help maintain the BluePool analytics platform, contribute to data governance, and assist with documentation and onboarding.

Ideal candidates are enrolled in a university program (data science, CS, engineering or related fields), are detail oriented, and eager to learn by collaborating with data scientists, data engineers and analytics specialists.