Worked CV example
Student Assistant CV Example
Follow an international master's student from ordinary experience to a focused CV for a business or data student role in Denmark.
This transparent teaching example combines official guidance with recurring requirements from 41 reviewed large-employer vacancies. Use the structure with facts from your own experience.
Step 1 · Establish the facts
Raw evidence inventory
Every detail below is fictional and supplied for this example. Later wording may clarify these facts, but it may not add responsibility, tools, numbers, or results.
Enrolled in an English-taught MSc Business Intelligence programme in Denmark, with expected graduation in June 2027 and availability for 12 to 15 hours of weekly work.
Completed a four-person course project using a public retail sales dataset with 12,480 rows.
Personally checked missing values and duplicates in Excel and wrote SQL filters, joins, grouping, and aggregate queries.
Built three Power BI report pages showing sales by month, region, and product category, then presented the findings and limitations in English.
Works about 12 hours weekly in a café, processing payments, helping reconcile the till, reporting discrepancies, and writing shift handover notes.
Volunteered with an international student society and coordinated sign-ups, room information, and participant questions for a 40-person career event with two other volunteers.
Step 2 · Define the target
Representative role brief
This is a composite role family, not a copied vacancy. It reflects recurring requirements observed in student roles at large international employers.
- Be enrolled in a relevant bachelor's or master's programme.
- Analyse information and create clear reports or presentations.
- Work confidently with Excel. Power BI is useful for some roles.
- Coordinate tasks and communicate with colleagues or participants.
- Work in a structured, reliable, and proactive way.
- Use professional English in an international environment.
Step 3 · Map the vacancy
Evidence coverage, not a magic match score
The map separates direct proof, partial proof, and genuine gaps. A gap is not automatically a reason to stop applying unless the requirement is mandatory.
State the programme and expected graduation date.
Show the dataset, checks, queries, and reporting output without presenting coursework as employment.
Name only the functions and deliverables the applicant can explain.
Use the class presentation and event communication as two different examples.
Show team context and the applicant's own contribution.
Use the checks, till reconciliation, discrepancy reporting, and handovers. Do not claim perfect accuracy.
Participant support is useful evidence, but it is not business stakeholder management.
Role-family references include official student-role evidence from Arla Foods and the wider employer-panel review. Requirements were combined and narrowed for teaching purposes.
Step 4 · Assemble the CV
Recommended content and order
International MSc Business Intelligence student with academic experience analysing retail data in Excel and SQL and presenting findings through Power BI. Brings practical coordination, customer communication, and accuracy experience from student work and volunteering. Available for 12 to 15 hours weekly and seeking a business or data student-assistant role in Denmark.
MSc Business Intelligence
Analysed a 12,480-row public retail sales dataset in a four-person course project, using Excel to check missing values and duplicates and SQL to filter, join, group, and summarise the data.
Built a three-page Power BI report showing sales patterns by month, region, and product category, then presented the findings and limitations in English.
Café team member
Processed customer orders and payments during a 12-hour weekly role, helped reconcile the till, and reported discrepancies to the shift lead.
Recorded stock, customer, and operational information in written handover notes so the next shift could continue unresolved tasks.
Career event volunteer
Coordinated sign-ups, room information, and participant questions for a 40-person career event with two other volunteers.
Excel · SQL · Power BI
Analysis · presentation · coordination · customer communication · accuracy
Visible provenance
Why each claim is allowed
Dataset size, team size, tools, work hours, event size, and deliverables came directly from the evidence inventory.
Words such as “analysed,” “coordinated,” and “accuracy experience” summarise confirmed actions. They do not add ownership or results.
“Course project,” “student work,” and “volunteering” keep each experience in its real setting.
Make it yours
Use claims you can explain
Include the following only when your own evidence supports them.
- Increased sales, profit, efficiency, or data accuracy
- Influenced business strategy or management decisions
- Led the project or independently owned the analysis
- Professional analytics or stakeholder-management experience
- Python, DAX, ETL, cloud, Git, SAP, or advanced SQL
- Danish fluency or unrestricted work authorisation
- A quantified ATS score or interview probability