7837-14 - Data Analyst - Python/SQL/Git (7837)

Zürich  ‐ Vor Ort
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Beschreibung


For a project at our client's site, an international bank based in Zurich, we are looking for an experienced


Data Analyst - Python/SQL/Git

In this exciting role, you will be developing and operating data-driven solutions to support marketing and sales in very close collaboration with diverse stakeholders across the organization.



Your Qualifications:


  • Several years' experience as a Data Analyst with focus on a quantitative or technical field

  • Hands-on experience in building data pipelines and creating efficient data models for solving complex business problems

  • Well-versed with Python (Pandas, SQLAlchemy), SQL and Git

  • Good knowledge of data visualizations and Tableau software

  • Familiar working with dynamic and uncertain requirements

  • Knowledge of machine learning techniques and experience as a consultant is an advantage

  • Experience with data analytics platforms such as Dataiku, Alteryx or Foundry is a plus

  • Teamplayer with an independent way of working and an analytical and innovative way of thinking

  • Fluent in English, German is a plus



Your Responsibilities:


  • Taking responsibility and operating the feature and lead generation pipeline in Dataiku (SQL & Python based)

  • Data quality checks and further optimizing pipelines

  • Responsible for lead distribution and load balancing

  • Contributing to the further development of the in-house applications and improving the quality and coverage of shared codebase (Python)

  • Developing machine learning models that deliver high-quality sales leads with direct revenue impact for all products across multiple channels, including client advisor and direct to client channels

  • Advising the stakeholders on analytics solutions and supporting data-driven decision making



Off to new destinations! Apply now directly on or contact our team on .


Start
11.2021
Dauer
6 Monate
Von
iET SA
Eingestellt
23.10.2021
Ansprechpartner:
Senior Recruiter
Projekt-ID:
2235106
Vertragsart
Freiberuflich
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