Business Intelligence - Essen, Deutschland - Soundreply GmbH
vor 3 Wochen
Beschreibung
Tick the boxes if you agree:
- I enjoy understanding the bigger picture and making informed decisions
- I love to explain complex things so that everyone can understand
- I am motivated and driven and love to learn new things
Our Mission:
We are seeking a Data Operations Working Student to join our team and help us bring our startup to the next level
This role would entail supporting the creation and maintenance of data pipelines for the data warehouse, enabling efficient data extraction, loading, and transformation (ELT), while also assisting in data analysis and visualisation to drive informed decision-making.
We have a modern office in Cologne, though we primarily work remotely and encourage all our team to work where it suits them.
Your everyday activities:
To support the creation and maintenance of data pipelines for the data warehouse, enabling efficient data extraction, loading, and transformation (ELT), while also assisting in data analysis and visualization to drive informed decision-making
You will
- Collaborate with our Head of Engineering Martin and Data Scientist Richard to plan and execute the design and deployment of robust data pipelines.
- Uphold the integrity and accuracy of data through consistent quality checks, promptly addressing any arising issues.
- Leverage SQL queries and scripts proficiently to efficiently extract, transform, and load data from diverse sources.
- Contribute to the enhancement and upkeep of Business Intelligence (BI) dashboards and reports, facilitating insightful decisionmaking.
- Take ownership of your processes within the product team, continuously striving to optimize and refine them.
You will need:
- Enrolled in a Bachelor's or Master's program relevant to the position.
- Excellent English and German language skills both written and spoken. Any other language is a plus.
- Expertise in SQL, with the ability to write complex queries
- Proficient understanding of set theory and statistical analysis of time series data.
- Proven intercultural competence including strength in communication skills across multiple disciplines, cultures, and with different media.
- A high level of selfmotivation, initiative, and drive.
About us:
You are a fit and a fit for this role if you identify with the following:
- We are humble and goal-oriented: there are a lot of things that we still don't know, but we always want to know why we are working on a specific project.
- We work with a lean approach on a path guided by the Kaizen philosophy. Make a plan, try it out early, fail, improve it, and eliminate waste.
- We embrace change and adapt when our mission and team need it.
- We are always there for each other, like in a tribe, we know that together we are better.
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