Senior Real World Data Scientist providing statistical and epidemiological expertise in nutrition and health research. Analyzing large scale observational data and guiding project teams in statistical methodologies.
About the role
- Senior Business Intelligence Analyst designing and implementing analytical solutions for Syntax. Leading data integration pipelines and mentoring team members for optimal business performance.
Responsibilities
- Participate in and lead business requirements and design review sessions.
- Design and configure analytical models, dimensions, hierarchies, and data actions.
- Build and maintain data integration pipelines between SAP Analytics Cloud (SAC) and source systems.
- Lead and mentor the team by providing guidance, fostering collaboration, and ensuring successful delivery of data solutions.
- Prepare functional and technical documentation, including configuration guides and user guides.
- Develop, test, and troubleshoot data actions and predictive forecasts in SAC.
- Oversee data validation and accuracy checks between source systems and SAC.
- Ensure security, data access controls, and role assignments are properly configured in SAC.
- Collaborate with business stakeholders to gather requirements and translate them into clear functional specifications.
Requirements
- Minimum 7 years of experience developing Business Intelligence (BI) and analytical solutions.
- At least 2 years of experience utilizing SAP Datasphere and SAP Analysis for Office to implement complex analytical solutions that access data from multiple sources.
- Experience creating extract/transform/load (ETL) processes from data sources, including SAP S/4 and MS SQL Server.
- Solid experience in projects involving S/4HANA with Datasphere/SAC landscape.
- Proven experience in developing complex data models.
- Deep knowledge of SAP Analytics Cloud and SAP Analytics Cloud Planning.
- Bachelor’s degree in Computer Science, Information Technology, Business Administration, or a related field.
- Relevant professional certifications in Business Intelligence or Data Analytics are a plus.
Benefits
- Competitive, above-average compensation
- Global tourist: With us, you can also work from abroad from time to time
- Flexible working time models, home office
- Attractive benefits, e.g. company pension scheme or various health offers
- A modern environment in which the "you" is part of it
- Open feedback culture, flat hierarchies and a motivated team
- Individual career planning with continuous training and coaching on the job
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
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