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Open nowFirst seen 3 days ago

Analytics Consultant - SAP Datasphere & SAC (80-100%)

ffiadvisory294 open roles

Where
Grabs, Switzerland
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Your applicationOpen nowAnalytics Consultant - SAP Datasphere & SAC (80-100%)ffiadvisory · Grabs, Switzerland

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The clock on this job

Early applications get read.

12.3% of postings close within 7 days. Measured by our own scanner across the market.

Share of postings closed within
  1. 2.1%1 day
  2. 4.5%3 days
  3. 12.3%7 days
  4. 19.3%14 days
  5. 35.6%30 days
  6. 57.8%60 days
This job: first seen 3 days ago

The posting

Industry: Pharmaceutical Manufacturing Number of employees: approx. 13'000 Reference number: RY9YV39X

Key Facts: SAP Datasphere, SAP Analytics Cloud, process optimization, Project Management/Program Management, Grabs/home office.

Main tasks:

  • Drive data-driven decision-making across the organization.
  • Design and develop data products for the service business, with a focus on company-wide reporting.
  • Support organizational development through process mining, process analysis, and process optimization.
  • Lead data-related development initiatives and deliver insights for strategic decision-making.
  • Strengthen a data-driven culture and enable data-powered services across the organization.
  • Design and develop data models based on SAP Datasphere.
  • Create analytical dashboards and KPI-based reports using SAP Analytics Cloud.
  • Identify optimization opportunities based on analytical results.
  • Implement, document, and roll out data models and analytics solutions.
  • Lead data-driven projects and initiatives as Project Manager or Program Manager.
  • Build and implement process mining solutions for root cause analysis.

Your qualifications:

  • Bachelor's or Master's degree in Computer Science, Business Informatics, Data Science, or a related field.
  • Strong interest in data, analytics, and business processes.
  • Excellent conceptual thinking and structured problem-solving skills.
  • Strong technical capabilities combined with a business-oriented mindset.
  • Ability to identify opportunities for improving processes and performance through data analytics.
  • Solid knowledge of data analysis methods and analytical models.
  • Experience working with large datasets, databases, and data visualization tools.
  • Proficiency in SQL and practical experience with SAP.
  • Knowledge of Python is an advantage.
  • Excellent communication and presentation skills.
  • Ability to present analytical findings clearly, persuasively, and in a stakeholder-oriented manner.

The salary range will be communicated confidentially.

If you have any questions, please contact us at any time on +41 55 299 58 58 or [email protected]. We will be happy to help you!

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