SAP Analytics Solutions Engineer

Key Responsibilities:

• Analytics Solution Development:
• Design and develop interactive dashboards, reports, and KPIs using following tools: SAP Datasphere, SAP Business Data Cloud, SAP Analytics Cloud and SAP S/4HANA Embedded Analytics.
• Focus on visual design principles to create user-friendly and intuitive dashboards. Propose a design code guide to follow in the team.
• Utilize SAC capabilities, including planning, forecasting, and predictive analytics
• Enable and optimize Embedded Analytics in SAP S/4HANA by consuming CDS Views.
• Data Integration and exploration
• Integrate data from various sources (SAP and non-SAP systems, SQL databases, etc.) into SAC for unified analytics and reporting.
• Perform exploratory data analysis (EDA) to uncover patterns, validate data quality, and derive actionable insights.
• Business Collaboration:
• Work closely with business stakeholders to gather requirements, define KPIs, and translate business needs into technical solutions.
• Provide guidance on self-service analytics to empower business users and enhance BI adoption.
• Solution Optimization and Governance:
• Ensure SAP Datasphere, SAP Business Data Cloud, SAP Analytics Cloud and SAP S/4HANA Embedded Analytics solutions align with data governance and performance best practices.
• Manage access controls, data security, and compliance across SAP analytics stack deployments.
• Monitor and optimize dashboards for usability, performance, and scalability.
• Documentation and Knowledge Sharing:
• Document all solutions, models, data integrations, and reporting workflows to ensure transparency and maintainability.
• Create clear technical and user documentation to support stakeholders and end-users.
• Integration and Enablement:
• Collaborate with SAP Data Engineers to ensure data readiness from SAP S/4HANA, SAP BDC, SAP Datasphere.
• Integrate SAP analytics stack with SAP back-end systems and other data sources for a unified analytics experience.
• Leadership and Support:
• Provide thought leadership on advanced SAP analytics stack functionalities, trends, and best practices.
• Mentor team members and train end-users to maximize the value of SAP analytics stack solutions.

Key Requirements

• 4+ years of experience in SAP BW, SAP Analytics Cloud (SAC), SAP Datasphere, SAP Business Data Cloud including planning, predictive analytics, and dashboard development.
• Strong knowledge of SAP S/4HANA Embedded Analytics and integration of CDS Views into SAC models.
• Hands-on experience performing exploratory data analysis (EDA) across various data sources to identify patterns, insights, and data quality issues.
• Experience working with SQL-based databases to query, validate, and manipulate datasets for analytics purposes.
• Solid understanding of data visualization best practices and performance optimization techniques.
• Familiarity with integrating SAC, BDC with SAP and non-SAP systems for seamless data consumption.
• Excellent ability to gather and translate business requirements into technical analytics solutions.
• Strong communication and stakeholder engagement skills, enabling collaboration with technical and business teams.
• Problem-solving mindset to address complex analytics challenges and ensure data-driven decision-making.
• Ability to work in cross-functional teams, coordinating with Data Engineers and IT stakeholders to ensure data readiness.
• Proactive, detail-oriented, and committed to delivering high-quality solutions.

We offer:

• Opportunity to build your own processes and best practices;
• A dynamic team working within a zero-bullshit culture;
• Working in a comfortable office at UNIT.City (Kyiv). The office is safe as it has a bomb shelter;
• Reimbursement for external training for professional development;
• Ajax's security system kit to use;
• Official employment with Diia City ;
• Medical Insurance;
• Flexible work schedule.