Role & responsibilities

Solution architecture and design

- Translate business and functional requirements into clear, pragmatic analytics solution designs.
- Recommend suitable data sources, modeling approaches, integration patterns, semantic layers, and reporting tools.
- Produce lightweight architecture diagrams, design notes, and implementation guidance appropriate to the complexity of each initiative.

Collaboration with business and delivery teams

- Work with business and functional stakeholders to clarify reporting outcomes, KPIs, data needs, and constraints.
- Explain design options and trade-offs in clear language and help teams reach practical decisions.
- Collaborate with developers, analysts, data owners, security, integration, and platform teams throughout delivery.

Architecture guidance and governance

- Apply and help improve common analytics principles for modeling, naming, reuse, security, documentation, and data quality.
- Review solution proposals and designs, providing constructive recommendations rather than acting as a formal approval gate for every change.
- Encourage reusable data products, consistent KPI definitions, clear lineage, and maintainable reporting solutions.

Delivery support and quality

- Support delivery teams during design, build, testing, deployment, and issue resolution.
- Perform focused design reviews for performance, security, scalability, supportability, and alignment with agreed standards.
- Help investigate recurring data or reporting issues and identify proportionate improvements.

Knowledge sharing and continuous improvement

- Share practical examples, templates, and reusable patterns with analysts and developers.




- Contribute to retrospectives and architecture discussions to improve delivery quality and consistency.

Stay informed about relevant SAP analytics capabilities and assess them based on real program needs.

Preferred candidate profile

- Around 5 years of experience in analytics, business intelligence, data, reporting, or related technology delivery; equivalent practical experience is welcome.
- Experience contributing to solution design, data modeling, integration, reporting, or technical coordination.
- Working knowledge of SAP analytics, ideally with exposure to one or more of SAP Datasphere, SAP BW, SAP S/4 data, or SAP Analytics Cloud.
- Ability to understand business needs and turn them into clear, feasible solution designs.
- Clear communication and a collaborative approach with technical and non-technical stakeholders.

Nice-to-Have Experience

- Experience with SAP Datasphere, BW/4HANA, SAC, Power BI, Analysis for Office, CDS views, SQL, or HANA modeling.
- Exposure to data governance, cataloging, data products, semantic modeling, or cloud analytics.
- Functional knowledge of finance, logistics, sales, procurement, or other back-office processes.
- Experience in an international setting or an SAP transformation program.

Collaboration and Soft Skills

- Structured thinking and curiosity when analysing business and data needs.
- Pragmatic decision-making, balancing standards with delivery constraints.
- Ability to explain technical ideas simply and listen to different perspectives.
- Comfort working across teams and influencing through expertise rather than authority.

Willingness to learn and grow with the evolving SAP analytics landscape

Education

- Degree, technical qualification, or equivalent practical experience in information systems, engineering, analytics, data, business, or a related field.

📌 SAP Analytics Architect - BOLD Program (Gurugram)
🏢 Louis Dreyfus
📍 Gurugram