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Internship/Thesis Writer – Reporting & Compensation (all genders) – Berlin

MBition6 days agoWorking Student
On-siteEnglish requiredGerman is a plus (not required)TechData Analytics

Required skills

Data QualityHR AnalyticsBusiness IntelligenceAPIsETLData TransformationCompensation AnalyticsExcelProcess AutomationDashboard DevelopmentPower AutomatePower BIPythonData ModelingSQL

Job description

MBition posted this role. Below, we break down what it means for a working student in Berlin: your weekly hours, take-home pay and visa limits. You can also open ChatGPT or Claude with a ready-made prompt to tailor your CV, check your fit, draft a cover letter or prep for the interview.

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Description provided by MBition

Your Mission

As a Reporting & Compensation Intern, you will support our HR team in transforming people data into meaningful insights and helping drive data-based decision-making across the organization. You will work closely with our Compensation and Planning & Reporting specialists, contributing to HR analytics, reporting, dashboard development, compensation processes, and data quality initiatives.

This internship is ideal for students with a strong analytical mindset who enjoy working with data, reporting tools, and process optimization in an HR environment.


Sneak preview of your future tasks


HR Reporting & Analytics

  • Create, maintain, and optimize HR dashboards and reports using Power BI and Excel.
  • Analyze workforce data and provide actionable insights related to headcount, compensation, performance, retention, and organizational effectiveness.
  • Support recurring and ad-hoc reporting requests for HR stakeholders and management.
  • Ensure data accuracy, consistency, and integrity across reporting solutions.

Automation & Process Optimization

  • Identify manual HR processes and reporting activities that can be automated.
  • Develop and maintain automated workflows using Power Automate and other automation tools.
  • Convert complex Excel-based reporting solutions into scalable and reliable Python-based processes.
  • Support the standardization and modernization of HR reporting and analytics infrastructure.
  • Collaborate with stakeholders to improve process efficiency and reduce manual effort.

Data Engineering & System Integration

  • Support the extraction, transformation, and loading (ETL) of HR data from multiple sources.
  • Work with APIs and system integrations to automate data collection and reporting processes.
  • Support data validation, quality checks, and governance activities.
  • Contribute to the development of sustainable reporting solutions and analytics frameworks.

Compensation & Performance Analytics

  • Assist in the annual Performance and Salary Review (PSR) process through data preparation, validation, and reporting.
  • Create analytical models and visualizations to support compensation-related decision-making.
  • Support job architecture and organizational analytics projects.


Your Profile


Technical Skills

  • Advanced Microsoft Excel skills are required, including complex formulas, Pivot Tables, and Power Query.
  • Knowledge of Power BI, including dashboard development and data modelling or willingness to learn.
  • Experience with Python for data analytics, reporting automation, and data transformation.
  • Knowledge of SQL and database concepts is considered a strong advantage.
  • Experience working with APIs and system integrations is highly desirable.
  • Experience with Microsoft Power Automate or similar workflow automation platforms is highly desirable.
  • Understanding of ETL processes, data quality management, and reporting best practices is an advantage.
  • Interest in HR analytics, compensation analytics, business intelligence, and process automation.

Personal Skills

  • Strong analytical and problem-solving mindset.
  • Passion for transforming complex manual processes into scalable automated solutions.
  • High attention to detail and commitment to data quality.
  • Structured, proactive, and independent working style.

 

Qualifications

  • Currently enrolled in a Bachelor's or Master's degree in Business Analytics, Industrial Engineering, Data Science, Human Resources, Statistics, or a comparable field.
  • Previous dual studies or internship experience in data analytics, reporting, business intelligence, HR analytics, or compensation is a plus.
  • Excellent English skills are required; German is a plus.


Working student essentials

What this Tech working student role in Berlin means for you: the weekly-hours rules, the social-contribution perks, and what international students should check before applying.

Weekly hours

Working students may work up to 20 hours a week during the semester and full-time during the breaks. Staying within this keeps your student status and the Werkstudent benefits.

Working student rules

Social contributions

Under the Werkstudentenprivileg you're exempt from health, care and unemployment insurance contributions — only pension insurance applies. That leaves more net pay than a regular job.

Check your insurance

International students

Non-EU students can work 140 full or 280 half days per year (raised from 120/240 in March 2024). A working student contract usually fits within this — confirm the exact limits printed on your residence permit.

Studying in Germany

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