Senior Analytics Engineer building data pipelines and models for analytics at AI - first hiring platform in Stockholm. Collaborating closely with cross - functional teams for data - driven decisions.
About the role
- SAP BRIM-Data Analytics Engineer designing, developing, and maintaining data pipelines and analytics models for SAP Billing and Revenue Management. Collaborating with teams to provide secure analytics solutions.
Responsibilities
- Design, develop, and maintain data pipelines, analytics models, and reporting solutions supporting SAP Billing and Revenue Innovation Management (BRIM) and SAP S/4HANA.
- Collaborate with architects, developers, and business teams to deliver secure, scalable, and compliant analytics solutions aligned with SAP best practices.
- Implement ETL/ELT pipelines for SAP BRIM data using SAP tools and modern data platforms.
- Build dashboards and reports using SAP Analytics Cloud (SAC), BW/4HANA, and other visualization tools.
- Ensure data handling meets PCI DSS, SOC1/SOC2, and Commonwealth IT security standards.
Requirements
- Bachelor’s degree in Data Science, Computer Science, or related field.
- 5+ years in data engineering and analytics within SAP environments.
- Hands-on experience with SAP BRIM and S/4HANA data structures.
- Strong SQL, ABAP for data extraction, and familiarity with SAP BTP for event-driven data processing.
- Knowledge of API integration and data governance frameworks.
- Excellent analytical and documentation skills.
Benefits
- Health insurance
- Flexible work from home options
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
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