Data Analyst - (f/m/d)

Locations: Munich, Berlin, Düsseldorf. Leipzig

Role & Responsibilities

  • Manage & analyze complexe data sets related to operations KPIs.
  • Translate results into action items for our Real Time Management and Workforce Planning Team.
  • Build and maintain sophisticated statistical models for demand prediction.
  • Handle performance related enquiries and provide ad-hoc data analysis on a short notice.

Experiences & Qualifications

  • Post-graduate degree in data science, mathematics, or statistics
  • 2-3 years’ work experience in data science / data analysis
  • Ability to handle largescale data sets, perform deep analyses, and turn data into useful deliverables.
  • Proactive, self-motivated, and autonomous way of working
  • Advanced knowledge of SQL and Tableau - Python, PowerBI and Grafana is a plus.
  • First work experience with time series forecasting and Robotic Process Automation (RPA) is a plus.
  • Fluency in English spoken and written, German language skills are a plus.

 

We Offer

  • Health & Wellbeing: Use your full access to Nilo.Health, including 1on1 sessions
  • We value personal and professional development: make full use ot the training Platform Udemy! 
  • A supportive feedback-based culture where respect and integrity guide us in what we do
  • We make your remote work comfy: we provide support on equipment and offer flexible working hours; we help you collaborate and connect with your colleagues both locally and remotely
  • Corporate Benefits

 

 

 

 

 

 

 

 

 

IDnow applies the principles of non-discrimination and equality: We strive to establish, maintain, and promote an open and inclusive recruitment process and working environment by respecting the principles of equal opportunities. Including but not limited to: sex, race or ethnic origin, religion or convictions, gender identity, citizenship, marital status, disability, age, or sexual orientation.

Challenge accepted?
Then I'm looking forward to hearing from you!

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Contact

Ms Smita Malviya
E-Mail: smita.malviya@idnow.de

IDnow GmbH
Auenstraße 100, 80469 München, Deutschland
https://www.idnow.io/