SAC DEVELOPER
Skill areas:
Required Skills & Qualifications:
- Bachelor's degree in Engineering, Computer Science, or a related field.
- 36 years of total experience in BI/Analytics, with at least 2+ years in SAP Analytics Cloud (SAC).
- Strong expertise in dashboard design, data modeling, and SAC scripting.
- Proficiency in connecting SAC to SAP BW, S/4HANA, or SAP HANA.
- Clear understanding of business processes in domains such as finance, sales, logistics, HR, etc.
- Excellent problem-solving, analytical thinking, and attention to detail.
Preferred/Good-to-Have Skills:
- Exposure to SAP BW/4HANA, SAP HANA Studio, or S/4HANA Embedded Analytics.
- Familiarity with SAP Datasphere
- Experience with SAC Mobile and responsive design.
- Hands-on experience with predictive analytics or AI-driven insights within SAC.
- Knowledge of Agile/Scrum methodologies and use of tools like JIRA, Azure DevOps, etc.
Soft Skills:
- Strong communication and client-facing skills.
- Ability to work collaboratively in a team and independently.
- Flexible and open to learning new tools and technologies.
- Good time management and multitasking capabilities.
36 years of total experience in BI/Analytics, with at least 2+ years in SAP Analytics Cloud (SAC).
Solution Design & Development:
- Work closely with business users and functional consultants to understand reporting and analytics needs.
- Design and develop responsive, user-friendly dashboards and stories in SAP Analytics Cloud (SAC).
- Leverage SAC's capabilities such as charts, tables, KPIs, input controls, linked analysis, etc.
- Build and manage SAC data models, including planning models (if applicable).
- Use calculated measures, restricted measures, hierarchies, parameters, and formulas effectively.
2. Data Integration:
- Establish and manage Live and Import data connections to sources like:
- SAP BW (BEx Queries)
- SAP HANA Calculation Views
- S/4HANA CDS Views
- Other cloud/on-premise data sources via OData, REST APIs, or SAP Cloud Connector
- Collaborate with BW/HANA developers to ensure proper data provisioning and modeling.
3. Advanced Functionalities:
- Utilize Scripting (JavaScript) in Analytic Applications for custom behaviors.
- Implement Story Filters, Linked Widgets, Bookmarks, and Smart Insights.
- Explore and leverage Smart Predict, Search to Insight, and Data Analyzer features.
4. SAC Planning (Optional/Preferred):
- Design planning models and versions.
- Configure data input, forecasting, and simulations.
- Define value driver trees, allocations, and data actions.
5. Performance Optimization & Testing:
- Optimize story performance through best practices in data modeling, filtering, and design.
- Conduct unit testing, peer reviews, and integration testing of developed reports.
Troubleshoot issues related to data accuracy, refreshes, and rendering.
