Working Student Analytics & Insights
Role details
Job location
Tech stack
Job description
Are you looking for a student side-job with real impact?
Working Student is a great opportunity to gain practical knowledge, and P&G offers this! In a working student engagement with P&G, you are expected to work up to 20 hours/week, hence working part time along with focusing on your university subjects as well. Get an opportunity to support our Analytics & Insights department and gain first- hand experience in a multi-national company.
During your working student experience, get hands on experience on the projects and get a chance to be a part of collaborative global teams to deliver a bigger vision, while gaining knowledge and guidance by the experts themselves., * Continuous mentorship: you will work with motivated people and receive day-to-day mentoring from your manager.
- We love flexibility and support your studying. You can arrange your work schedule based on your personal needs.
- Multifaceted and supportive work environment: employees are at the core, we value every individual and support initiative, promoting agility and truly supporting your work/life balance and long-term well-being.
- Practical experience as an Analytics & Insights Manager at P&G with hand-on project in the field of data analytics and data engineering, To optimally prepare for our interviews, make sure you fully understand our application process.
- CV as a separate document
- Certificate of university enrolment
- Copy of university diploma (if applicable) and transcript
- Copy of relevant work, internship and volunteering certificates or reference letters (if available)
Please upload all documents in the "CV/Resume" field. Incomplete applications may lead to delays in the recruitment process.
Requirements
Do you have experience in Tableau?, Do you have a Master's degree?, * Enrolled at a German University working towards your Bachelor / Master, preferably in Business administration, Marketing or related fields.
- Living in commutable distance from Schwalbach im Taunus area and willing to work from the office for at least 3 days/week.
- Proficiency in English & German (at least B2).
- Strong IT affinity with first experience in data engineering (e.g. data processing, creating PowerBI/Tableau/Click dashboards)
- Strong Excel Skills.
- Understanding of analyzing and interpreting data in the context of FMCG business relevant KPIs
- Good collaboration, communication, and analytical skills.
- Proficiency in MS Office.
- Great level of self-organization.
- Team oriented, with a "can do" attitude and ability to deliver breakthrough results.
- Creative, innovative, strong in your initiative, follow-through, communication, and priority-setting.