Analytics Consultant - SAP Datasphere & SAC (80-100%)
产业：制药生产员工数量：约13000 人参考号码：RY9YV39X 关键事实：SAP 数据圈，SAP 分析云，流程优化，项目管理/计划管理，抓取/家庭办公室。主要任务：· 在整个组织中推动基于数据的决策。·设计和开发服务业务的数据产品，重点放在全公司报告工作上。·通过过程挖掘，过程分析和进程优化支持组织发展。·领导与数据相关的开发举措并提供战略决策的见解。· 加强数据驱动文化，并实现整个组织中基于数据的服务。· 设计和开发基于 SAP Datasphere 的数据模型。· 使用 SAP Analytics Cloud 创建分析仪表板和基于 KPI 的报告。· 根据分析结果确定优化机会。· 实施，记录和推出数据模型和分析解决方案。· 作为项目经理或计划经理领导数据驱动项目和倡议。· 为根源分析构建和实施过程挖矿解决方案。你的资格：·计算机科学，商业信息学，数据科学或相关领域的本科或士学位。· 对数据，分析和业务流程的强烈兴趣。· 优秀的概念思维和结构化解决问题的技能。· 有着专注于商业化的思维方式结合的强大的技术能力。·通过数据分析识别改善过程和性能的机会的能力。· 数据分析方法和分析模型的坚实的知识。·与大型数据集，数据库和数据可视化工具工作经验。· SQL 的熟练度和 SAP 的实践经验。• Python 的知识是优势。· 卓越的沟通和演示技巧。· 能够明确，说服力和以利益相关者为导向的方式呈现分析结果。薪酬范围将会保密地传达。如果你有任何问题，请随时联系我们在+41 55 299 58或 +41 59 58 . 我们很乐意帮助你！原始发布于喜马拉雅山
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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 . We will be happy to help you!
Originally posted on Himalayas