8 дней назад
Working Student - Product Analytics (F/M/D)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Working Student - Product Analytics (SQL/Python): Supporting product analytics for reality capture and digital factory solutions with an accent on ETL, KPI development, reporting, and data-driven decision-making. Focus on designing data sources, structuring KPI libraries, and enabling product and engineering teams to generate actionable insights.
Location: Munich, Germany — hybrid work at GmbH
Company
develops reality capture and digital factory solutions that create photorealistic digital twins and connect physical and digital operations.
What you will do
- Generate data insights that support better, data-driven business decisions.
- Work with Product Managers and Cloud Engineers to improve product analytics capabilities, including ETL, KPIs, and reporting.
- Support the architecture of new data sources for additional operational insights.
- Introduce structure to the existing KPI library.
- Enable teams across to generate and use their own insights.
Requirements
- Currently studying information systems, informatics, business, or a similar subject.
- Experience with analytics technologies such as SQL and Python.
- Experience with BI tools such as Databricks or Power BI.
- Previous work experience or an equivalent project track record in analytics.
- Strong English communication skills are required for stakeholder interaction and presenting data insights.
Culture & Benefits
- Hybrid work setup with flexible working hours.
- 20 days of paid time off per year.
- Hands-on involvement in projects with opportunities to gain experience in a fast-growing company.
- Regular 1:1 meetings, retrospectives, and 360-degree developmental feedback.
- Learning platform, tailored training, career development paths, and internal mobility opportunities.
- Open, collaborative culture with flat hierarchies and a focus on trust, transparency, diversity, and inclusion.
Hiring process
- Screening call.
- One interview focused on interests, motivation, and mutual fit.
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