Data Scientist: SAP Analytics & Dashboards | Process Mining

Jobtailor

Porto

Presencial

Tempo integral

14 dias+

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Descrição da oferta de emprego

  • Design and development of data models based on SAP Datasphere
  • Creation of analytical dashboards and reports with defined KPIs in SAP Analytics Cloud, and identification of optimization opportunities
  • Implementation, documentation, and rollout of the developed data models
  • Management of data-driven projects and initiatives as a project or program manager
  • Establishment and deployment of a process mining tool for root-cause analyses
Requirements
  • Completed degree in Computer Science, Business Informatics, or a related field
  • Passion for data, analytics, and processes, with strong conceptual thinking skills
  • Strong technical abilities and the capacity to solve complex business problems in a structured manner
  • Understanding of the business context and the ability to identify how data analytics can be used to improve processes
  • Solid knowledge of data analysis methods and models
  • Comfortable working with large datasets and experienced with databases and data visualization tools
  • Good to excellent knowledge of SQL and experience with SAP; Python skills are a plus
  • Able to communicate findings clearly, appropriately for the audience, and persuasively to stakeholders
Core Competencies

Demonstrates expertise in designing and developing data models using SAP Datasphere, along with the ability to create analytical dashboards and reports in SAP Analytics Cloud. Proficient in managing data-driven projects and utilizing data analysis methods to optimize business processes.

Highest-signal resume keywords
  • SAP Datasphere
  • SAP Analytics Cloud
  • SQL
  • Data Analysis Methods
  • Project Management
ATS Optimization Keywords
Hard Skills
  • Data Modeling
  • Data Visualization
  • Process Mining
  • Python
  • KPI Development
Soft Skills
  • Conceptual Thinking
  • Communication
  • Problem Solving
Industry Keywords
  • Data Analytics
  • Business Informatics
  • Data-Driven Projects
Tools & Technologies
  • Databases
  • Analytical Dashboards
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