crucial role in bridging the gap between business needs and technical solutions within the realm of data warehousing projects. Strong understanding of data modelling concepts and techniques. Proficiency in SQL and identify data-related needs and opportunities for improvement. Data Modelling Assist in the design and and development of data models that support business requirements. Collaborate with data architects and data engineers to create logical and physical data models for the data warehouse. Data Profiling and Analysis
crucial role in bridging the gap between business needs and technical solutions within the realm of data warehousing projects. Strong understanding of data modelling concepts and techniques. Proficiency in SQL and identify data-related needs and opportunities for improvement. Data Modelling Assist in the design and and development of data models that support business requirements. Collaborate with data architects and data engineers to create logical and physical data models for the data warehouse. Data Profiling and Analysis
/>- SAP BW4/HANA Data Modelling skills is essential
- SAP BW 7.5 Data Modelling and BEX skills are
/>WHICH QUALIFICATIONS/EXPERIENCE DO WE NEED FOR THE ROLE?
At least 10 years SAP
collaboration
· Application of the Agile Working Model Methodology
reporting models based on business needs.
responsibilities assigned in the Agile Working Model (AWM) Charter
ADVANTAGEOUS
data modelling, SW-Architecture
QUALIFICATIONS / EXPERIENCE NEEDED:
responsibilities assigned in the Agile Working Model (AWM) Charter ADVANTAGEOUS SKILLS REQUIREMENTS: On-prem, hybrid, data modelling, SW-Architecture QUALIFICATIONS / EXPERIENCE NEEDED: Relevant IT Degree
business requirements, through a structured process, modeling, validating and translating it into business requirement contract subject to renewal in a hybrid working model Business Analysis: Investigate operational requirements analyse information needs and functional requirements. Delivery the following as needed: Business requirements requirements . Negotiate acceptance criteria. Plan own modelling activities, selecting appropriate techniques and choice of the modelling approach to be used Obtain input from and communicates modelling results to senior
focus on Prescriptive Analytics and Predictive Modelling. ● Engage with internal business clients with questions, always probing for the deeper questions and needs, to find the best possible solutions for the business ● Create algorithms and build machine learning models to enhance product offerings and solve business systems to track model performance. ● Presentation of data science opportunities and model outcomes to a ● Experience or familiarity with data science model operationalization on-prem or in the cloud (GCP
limits. Responsibilities: Analytical Modeling - create analytical models Operational Support - provide support provide the best solutions based on the business need. Data Collection and Analysis - conduct research using primary data sources and select information needed for the analysis of the key themes and trends. relationships across the business and find out their needs/issues and concerns by reacting to these and arranging packages, while providing technical guidance as needed. Advanced MS Office Skills., Different database
Architect