Data Scientist II at LexisNexis applying statistical analysis and building predictive models for fraud and credit risk. Collaborating with teams to enhance existing products and provide actionable insights.
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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