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Data Analyst (m/w/d)

Randstad DeutschlandHamburg, Hamburg🇩🇪Germany

Why this role stands out

This hybrid Data Analyst role offers significant opportunities for professional growth and development within a reputable company, where you'll drive impactful data-driven decision-making and reporting enhancements. You'll thrive here if you possess strong analytical skills, experience with BI tools, and a proactive approach to optimizing processes, all while enjoying attractive benefits and a supportive work environment. Don't miss this chance to advance your career in a dynamic setting – apply today!

Quick overview

SeniorityMid Senior
Employment typeFull Time
Work modeHybrid
LocationHamburg, Hamburg, Germany
TableauLLMPython

Job description

The jobholder (d/f/m) will work as Data Analyst and AI Expert in the area of Business Support & Improvement.

  • Extract and integrate both structured and unstructured data from various databases and data-stores, based on data modelling provided by IT, with a focus on business needs to drive and enable the achievement of business excellence
  • Develop, test and implement the most suitable analytical models to identify meaningful patterns or trends from complex data sets and types to support customer needs
  • Analyze and improve regularly the accuracy of models against business needs
  • Communicate findings through effective and easy-to-understand data visualizations adapted to the audience
  • Be the interface between the functions, the data ecosystem and the requested solution
  • Coach the function in the data-driven mind-set
  • Actively contribute and share best practices, findings, and techniques with the wider data community

Persönliche Anforderungen:

  • The ability to quickly understand and analyze technical concepts and functionalities Independent, structured, and results-oriented working style to achieve objectives on time and coordinate workflows efficiently
  • Strong communication skills to collaborate effectively with stakeholders at all Levels
  • Analytical thinking

Studium:

- Informatik mind. Bachelor-Studiengang oder

- Wirtschaftsinformatik mind. Bachelor-Studiengang oder

- Wirtschaftsingenieur mind. Bachelor-Studiengang oder

- Betriebswirtschaft mind. Bachelor-Studiengang

Berufserfahrung:

  • IT / Informationssysteme mind. über 3 Jahre
  • Projektmanagement mind. über 2 Jahre
  • Supply Chain / Logistics mind. über 3 Jahre
  • Data-Analysis mind. über 3 Jahre
  • IT Python
  • Kenntnis von Detailfunktionen AI/LLM (Large Language Model)
  • Kenntnisse Lean Management
  • Prozessmanagement
  • Englisch mind. verhandlungssicher
  • Deutsch von Vorteil
  • Qualifikationen Business Intelligence Tools (z.B. Power-BI, Skywise, Tableau

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