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Analytics Engineer for Data Projects (m/f/d)

Campusjäger by Workwise

Berlin

Hybrid

EUR 50.000 - 80.000

Vollzeit

Vor 25 Tagen

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Zusammenfassung

In dieser spannenden Rolle als Analytics Engineer haben Sie die Möglichkeit, strategische Datenprojekte zu leiten und C-Level-Management bei der Entscheidungsfindung zu unterstützen. Sie werden automatisierte Dashboards und Berichte erstellen, die es den Stakeholdern erleichtern, wichtige Leistungsindikatoren zu überwachen. Diese Position bietet eine steile Lernkurve, flexible Arbeitszeiten und die Chance, in einem dynamischen Team mit einer einzigartigen Teamkultur zu arbeiten. Wenn Sie eine Leidenschaft für Datenanalyse haben und in einem kreativen Umfeld arbeiten möchten, ist dies die ideale Gelegenheit für Sie.

Leistungen

Hybrides Arbeiten
Flexible Arbeitszeiten
Teamevents
Flache Hierarchien
Wertorientierte Entscheidungsfindung
Team-Offsites alle 16 Wochen
Hohe Karrierewachstumschancen
Vollständige Verantwortung auf allen Ebenen

Qualifikationen

  • Abschluss in einem MINT-Fach oder gleichwertige praktische Erfahrung.
  • Gute Kenntnisse in SQL und erste Erfahrungen mit BI-Tools.

Aufgaben

  • Leitung strategischer Datenanalyseprojekte zur Unterstützung des Managements.
  • Erstellung und Pflege automatisierter Dashboards und Berichte.

Kenntnisse

SQL
Problem-solving
Communication
Data analytics
Interpersonal skills
Curiosity

Ausbildung

Degree in STEM subject
Equivalent practical experience

Tools

Tableau
Power BI
Metabase
GCP (Google Cloud Platform)
Airflow
dbt

Jobbeschreibung

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Analytics Engineer for Data Projects (m/f/d), Berlin

Location:

Berlin, Germany

Job Category:

Internet

EU work permit required:

Yes

Job Reference:

9978133

Job Views:

28

Posted:

25.04.2025

Expiry Date:

09.06.2025

Job Description:
What can you expect?
  • You lead strategic data analytics projects, facilitating decision making of C-level management.
  • You build and maintain automated dashboards and reports that are effective in helping stakeholders monitor key performance indicators and easily make decisions.
  • You build tables and models in dbt that allow less technical users to self-serve and carry out their own reporting and analytics.
  • You serve as a point of contact for ad-hoc data questions and requests.
What do we offer?
  • A steep learning curve with a high career growth trajectory and massive ownership.
  • Hybrid working and flexible working hours combined with a fair target salary.
  • Offsite team events and regular get-togethers.
  • Unique team spirit and flat hierarchies.
  • Amazing 40 people team & highly experienced leadership team to learn from.
  • Value-centered decision making: fast, transparent, creative and fun.
  • Team offsites every 16 weeks to come together in-person & strengthen our relationships.
  • Complete ownership on every level.
What should you bring along?
  • You have a degree in STEM subject, relevant technical field, or equivalent practical experience.
  • You have good knowledge of SQL and initial experience with visualization/BI tools (e.g. Tableau, Power BI, Metabase).
  • You gained first experience in data analytics, data/analytics engineering through internships or in a permanent position.
  • You have excellent problem-solving skills and always work in a solution-oriented and detailed manner.
  • You have a curious and self-driven approach, as well as the ability to extract clear objectives and requirements from broad challenges or questions.
  • You have strong communication and interpersonal skills to effectively interact with stakeholders.
  • You are fluent in German.
  • You have data warehousing experience and an understanding of ETL (/ELT) processes.
  • You have experience with cloud services, e.g. GCP (Google Cloud Platform).
  • You have exposure to Airflow and/or dbt.
  • You have experience working with ambiguity in a scale-up (or scale-up-like) environment.

Our job offer Analytics Engineer for Data Projects (m/f/d) sounds interesting? We're excited to receive your application via our partner Campusjäger by Workwise.

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