Analyst (Student Assistant), Data Management
CIP Fund Solutions · Copenhagen, Capital Region of Denmark, Denmark
- On site
- Part-time
- DKK 30,000 / year
- Copenhagen, Capital Region of Denmark, Denmark
Job highlights
- Student Analyst role in data management.
- Work with modern data technologies.
- Contribute to green energy transition.
- Part-time with exam flexibility.
- Develop data pipelines and solutions.
About the role
Analyst (Student Assistant), Data Management
Do you want to apply your technical skills in a real-world setting and contribute to the green energy transition? If so, CIP Fund Solutions (CIP FS) is looking for an Analyst (Student Assistant) to join our office in Copenhagen, Denmark.
Team
You will join the Data Management function within CIP’s central IT organization. The team consists of 9 colleagues working across Master Data Management, Data Governance, Data Engineering and Data Platform & Analytics Enablement. The team is on a journey, establishing core data platforms, governance principles, and scalable ways of working. Data Management plays a key role in enabling CIP’s digital and technology agenda across investments, operations, and fund management.
Role
As a new Analyst, you will work directly with modern data technologies and help develop and operate data solutions used across CIP. You will contribute to designing and maintaining data models, pipelines, and datasets, translating business needs into robust technical solutions. You will work closely with experienced data professionals and receive day-to-day supervision from the team’s Data Platform Architect. This role also includes involvement in the operation and stability of the data warehouse, meaning you will help ensure that solutions are reliable, accessible, and well supported by business users. Day-to-day support tasks are therefore a natural part of the role. This is a part-time position (approx. 15-20 hours/week), with flexibility during exam periods.
Responsibilities
- Develop and maintain data pipelines and transformations (with support from senior team members)
- Support operation and further development of data engineering and analytics solutions
- Handle support cases to ensure a stable and reliable data platform
- Contribute to integrating data from new source systems
- Collaborate with the team to identify opportunities for automation and use of AI-enhanced capabilities.
Qualifications
We are looking for 2nd or 3rd year bachelor’s students or 1st year master’s students within a technical or quantitative field. You may be studying at ITU, University of Copenhagen, CBS, DTU, or a similar institution. You bring a genuine interest in data engineering, analytics, automation, coding, or AI, and you are motivated to learn by doing. Relevant actual experience is a plus, but curiosity and willingness to grow matter just as much. We work primarily with Microsoft Fabric and Azure DevOps; familiarity with these tools is helpful.
We look for the following in a candidate:
- You thrive in a professional environment with regular deadlines and are accountable for your work.
- You are structured, curious, and comfortable collaborating with both technical and non-technical stakeholders.
- Demonstrated methodological and problem-solving skills
- Ability to explain technical topics in a clear and structured way
- Experience with Python/SQL
- Fluency in written and spoken English
- A motivated and results-focused mindset with high execution focus
- A professional attitude and integrity in everything you do.
About CIP Fund Solutions
CIP FS’ purpose is to enable CIP’s ambition to scale rapidly over the coming strategy-period - supporting our colleagues with professional and efficient financial, legal, tax and business operations through the cycle from fund formation and capital raising, to deploying investments into construction of large-scale greenfield renewable energy assets, as well as M&A. For more information, please visit CIP Fund Solutions.
Key skills/competency
- Data Engineering
- Data Analysis
- Python
- SQL
- Data Modeling
- Data Governance
- ETL
- Microsoft Fabric
- Azure DevOps
- Problem-Solving
Skills & topics
- Data Management
- Analyst
- Student Assistant
- Data Engineering
- Data Analysis
- Python
- SQL
- Microsoft Fabric
- Azure DevOps
- Copenhagen
- Part-time
How to get hired
- Tailor your resume: Highlight technical skills like Python, SQL, and data engineering experience relevant to CIP Fund Solutions.
- Craft a strong application: Emphasize your interest in data management and the green energy transition in your cover letter.
- Prepare for technical questions: Be ready to discuss your problem-solving skills and experience with data models and pipelines.
- Showcase collaboration: Demonstrate your ability to work with both technical and non-technical stakeholders during the interview.
- Understand company values: Research CIP Fund Solutions' commitment to diversity, inclusion, and the green energy sector.
Technical preparation
Behavioral questions
Frequently asked questions
- What academic level is required for the Data Management Analyst Student Assistant role at CIP Fund Solutions?
- CIP Fund Solutions is seeking 2nd or 3rd year bachelor’s students or 1st year master’s students for the Analyst (Student Assistant) position. You should be pursuing a degree in a technical or quantitative field.
- What are the primary technical tools used by the Data Management team at CIP Fund Solutions?
- The team primarily works with Microsoft Fabric and Azure DevOps. Familiarity with these tools is considered helpful for the Analyst (Student Assistant) role.
- Is this a full-time or part-time position at CIP Fund Solutions?
- This is a part-time position, requiring approximately 15-20 hours per week. The role offers flexibility, particularly during exam periods.
- What is the expected weekly hour commitment for the Analyst (Student Assistant) role?
- The Analyst (Student Assistant) role is part-time, with an expected commitment of around 15-20 hours per week. The schedule can be flexible, especially during student exam periods.
- How can I inquire about the Data Management Analyst Student Assistant position at CIP Fund Solutions?
- For questions regarding the role, you can reach out to CIP Fund Solutions' Talent Acquisition team at talent@cipfs.com. Please note that CVs and cover letters sent via email will not be accepted for formal application.
- Does CIP Fund Solutions consider candidates without direct experience for the Student Assistant role?
- Yes, while relevant experience is a plus, CIP Fund Solutions values curiosity and a willingness to grow. A genuine interest in data engineering, analytics, automation, coding, or AI is highly regarded.
- What kind of support will I receive as a Data Management Analyst Student Assistant?
- You will receive day-to-day supervision from the team's Data Platform Architect and work closely with experienced data professionals. This support system is designed to help you learn and succeed in the role.
- What are the key responsibilities of the Analyst (Student Assistant) at CIP Fund Solutions?
- Key responsibilities include developing and maintaining data pipelines and transformations, supporting data engineering and analytics solutions, handling support cases for the data warehouse, and contributing to data integration from new source systems.