SAP Analytics Cloud (SAC) Developer

Data-Core Systems, Inc.is a provider of information technology, consulting, and business process services. We offer breakthrough tech solutions and have worked with companies, hospitals, universities, and government organizations. A proven partner with a passion for client satisfaction, we combine technology innovation, business process expertise and a global, collaborative workforce that exemplifies the future of work. For more information about Data-Core Systems, Inc., please visit https://datacoresystems.com/.

Our client is a roadway system and as a part of their digital transformation they are implementing a solution based on SAP BRIM & Microsoft Dynamics CE.

Data-Core Systems Inc. is seeking an SAP Analytics Cloud (SAC) Developer to be a part of our Consulting team. You will participate and effectively contribute to the design, development, and implementation of complex applications, often using new technologies. You will provide technical expertise and systems design for individual initiatives. You will have an opportunity to work with other SME consultants from our existing team.

Roles & Responsibilities:

SAP Analytics Cloud Development.

• Design, develop, and maintain SAP Analytics Cloud (SAC) solutions including:
  • Dashboards.
  • Stories.
  • Reports.
  • Planning models.
  • Predictive analytics applications.
  • KPI scorecards.
    
• Develop scalable and user-friendly analytics solutions supporting enterprise business operations.

Data Modeling & Analytics Support.

• Develop and maintain:
  • SAC data models.
  • Planning models.
  • Calculated measures.
  • Business rules.
  • Data actions and allocations.
• Support enterprise reporting, forecasting, budgeting, and performance management processes.
• Ensure consistency and accuracy of analytics and planning solutions.

Integration & Data Connectivity.

• Support integration between SAP SAC and:
  • SAP Datasphere.
  • SAP BW/4HANA.
  • SAP S/4HANA.
  • SAP HANA.
  • Non-SAP enterprise data sources.
• Develop and support live and import data connections.
• Collaborate with data engineering and integration teams to support data pipelines and reporting architectures.

Dashboard & Visualization Development.

• Design and optimize executive dashboards and operational reporting solutions.
• Develop data visualizations and interactive analytics supporting business intelligence initiatives.
• Support KPI framework development and enterprise reporting standards.
• Ensure reporting solutions are intuitive, scalable, and performance optimized.

Planning & Forecasting Support.

• Develop and support SAC planning applications including:
  • Budgeting.
  • Forecasting.
  • Workforce planning.
  • Financial planning.
  • Scenario analysis.
    
• Configure planning workflows, allocations, version management, and approval processes.
• Support business users during planning cycles and reporting activities.

Performance Optimization.

• Analyze and optimize SAC application and query performance.
• Support tuning of:
  • Models.
  • Stories.
  • Dashboards.
  • Data connections.
  • Planning processes.
    
• Collaborate with infrastructure and data teams on scalability and performance initiatives.

Testing & Quality Assurance.

• Develop and execute:
  • Unit testing.
  • Integration testing.
  • User acceptance testing (UAT).
  • Data validation testing.
• Validate reporting accuracy, planning calculations, and dashboard functionality.
• Support defect analysis, troubleshooting, and issue resolution activities.

Production Support & Operational Activities.

• Support production deployments, maintenance windows, and operational support activities.
• Monitor SAC environments and resolve reporting or planning-related issues.
• Participate in root cause analysis and continuous improvement initiatives.
• Support enterprise analytics operations and reporting reliability.

Documentation & Knowledge Transfer.

• Create and maintain:
  • Technical specifications.
  • Dashboard documentation.
  • Data model documentation.
  • User guides.
  • Operational procedures.
  • Support runbooks.
• Provide knowledge transfer and end-user support for SAC solutions.

Collaboration & Stakeholder Engagement.

• Collaborate with:
  • SAP Datasphere developers.
  • SAP functional consultants.
  • Data architects.
  • Finance and business teams.
  • Executive stakeholders.
• Participate in workshops, architecture reviews, and Agile delivery activities.
• Translate business requirements into scalable analytics and planning solutions.
  

Required Skills & Experience:

• 7+ years of analytics, business intelligence, or SAP reporting experience.
• 3+ years of direct SAP Analytics Cloud (SAC) development experience.
• Proven experience supporting enterprise analytics and reporting platforms.
• Strong understanding of enterprise reporting and planning processes.
• Hands-on experience developing:
  • SAC dashboards and stories.
  • Planning models and workflows.
  • Data visualizations and KPI reporting.
  • Data connections and integrations.
• Strong understanding of:
  • Enterprise reporting architecture.
  • Data modeling concepts.
  • Forecasting and planning processes.
  • Business intelligence best practices.
  • Analytics performance optimization.
• Experience with:
  • SAP Datasphere.
  • SAP BW/4HANA.
  • SAP S/4HANA.
  • SAP HANA.
  • SQL and analytical queries.
  • APIs and integration services.
• Strong analytical and technical troubleshooting abilities.
  
• Strong dashboard and analytics development capabilities.

Required Education and Certifications:

• Preferred certifications include one or more of the following:

SAP Certifications:

• • SAP Certified Application Associate - SAP Analytics Cloud.
  • SAP Certified Technology Specialist - SAP Datasphere.
  • SAP Certified Application Associate - SAP BW/4HANA.
  • SAP Certified Technology Associate - SAP HANA.

Additional Certifications:

• • Business intelligence or analytics certifications preferred.
  • Cloud certifications (Azure, AWS, or Google Cloud) preferred.

• Bachelor’s degree in:
  • Computer Science.
  • Information Technology.
  • Data Analytics.
  • Business Analytics.
  • Information Systems.
  • Related technical discipline.
• Equivalent combination of education and relevant experience may be considered.

We are an equal opportunity employer.

#Dice