The key responsibilities include designing metrics, extracting and analyzing data, and reporting and visualization. The ideal candidate should have a background in Data Analytics, Statistics, Computer Science, or Engineering, possess strong analytical and problem-solving skills, be proficient in data analytics and visualization tools, and have knowledge of programming languages such as Python and SQL. The internship provides professional development, mentorship, networking opportunities, and the chance to contribute to innovative solutions. Interested candidates can apply by submitting their resume, a cover letter, and relevant project portfolios or work samples.What you'll do
1. Designing Metrics: collaborate with the Product Management team to design the metrics for product development.
2. Extracting and Analysing Data: Utilize data analytics tools such as Power BI, Grafana, or similar platforms to extract relevant data; Analyse the extracted data to provide insights into the product performance and support product development.
3. Reporting and Visualization: Create comprehensive and visually appealing reports to present findings; Develop dashboards and visualizations to effectively communicate data insights to the leadership team. Prepare and present data-driven insights and recommendations to the leadership team during meetings.
What you'll need
4. Available 6 months, 32-40 hours a week
5. Enrolled in a German university for the entire duration of the internship
6. Educational Background: Currently pursuing or recently completed a degree in Data Analytics, Statistics, Computer Science Engineering, or a related field.
7. Analytical Skills: Strong analytical and problem-solving skills with the ability to interpret complex data sets.
8. Data Analytics Tools: Proficiency in using data analytics and visualization tools such as Power BI, Grafana, Tableau, or simila platforms.
9. Programming Skills: Knowledge of programming languages such as Python, R, or SQL for data manipulation al analysis. Ability to use LLM applications for data analysis.
10. Communication Skills: Ability to present complex data in a clear and concise manner.