skilled Intermediate Data Scientist to join their team. As an Intermediate Data Engineer, you'll be pivotal pivotal in using data-driven insights to inform business strategies and enhance operations. Collaborating measuring the success of data science initiatives. Design and implement data visualization tools and dashboards with emerging technologies and best practices in data science, machine learning, and artificial intelligence Mathematics, or a related field. 2 years of experience in data analysis, machine learning, and predictive modeling
/li>
Analytics Cloud
· Eclipse
· SAP BW 7.5 Data Modelling and BEX skills essential
· SAP ABAP
design and develop data sources (activate standard data sources, enhance existing data sources and create
create custom data sources).
· Technically Develop Customer Specific Solutions, with adaptability, portability
REQUIREMENTS:
· SAP MDG Master Data Governance (Advantageous)
· German speaking
(advantageous)
· Flexibility to work some weekends / shifts or longer hours if required.
· Experienced
across all SAP modules
· Initial focus on master data.
· Ability to assist with problem identification
Informatics understanding to resolve problems related to data flow between various systems & middleware
· Flexibility to work weekends and after hours in a shift schedule
· IT
able to travel internationally
· Working on weekends
WHICH QUALIFICATIONS/EXPERIENCE
Work rotation spans over morning, evening, and weekend shifts, also on public holidays
· Provide
VDI Deployment. Understanding CA Data Management / Follow the Data as an VDI deployment approach. Driving dedicated ITSM service. Upon demand willing to work on weekends (changes). Operate and maintain scripts (deletion) Any operating system certification relating to data management. Any programming certification. Any web
Control-M batch schedules with regards to release weekends/ slots. NB: By applying for this role, you consent
SQL technologies and a special focus on financial data reporting and analytics . This role involves working experience in BI Development, ETL, Analysis Services, and data warehousing within a Microsoft environment. Required experience in BI development and data warehousing with a focus on financial data. Strong analytical skills and Experience with financial systems and understanding their data and reporting frameworks. Knowledge of financial and Power BI solutions to meet specific financial data reporting and analysis requirements. BI Development:
Ability to develop in Data Drive Programming languages such as Python and Big Data pipelines such as ETL calculations from a developer perspective. Expertise in Data Intelligence and Business Intelligence. Knowledge experience. At least 3 years' experience building big data pipelines (ETL, SQL, etc). Salary Market Related
Ability to develop in Data Drive Programming languages such as Python and Big Data pipelines such as ETL calculations from a developer perspective. Expertise in Data Intelligence and Business Intelligence. Knowledge experience. At least 3 years' experience building big data pipelines (ETL, SQL, etc). Salary Market Related