SAP Analytics Leader (SAP HANA data modeling)

Job Description

Key Responsibilities
Solution Design and Implementation:
•    Lead end-to-end SAP Analytics Cloud (SAC) planning implementations, including greenfield and brownfield projects.
•    Develop and deliver tailored solutions across Finance, HR, Sales, and Supply Chain processes.
•    Design and implement scalable, high-performance analytics architectures with a focus on optimal data footprint, flexibility, and user experience.
Business Transformation and Consulting:
•    Conduct discovery workshops, solution showcases, and client presentations to align solutions with business needs.
•    Provide thought leadership in SAP Analytics, including strategy development and roadmap definition.
•    Collaborate with clients to identify and harness key business KPIs across various processes.
Technical Expertise and Development:
•    Hands-on solutioning in FP&A analytics, data science, and enterprise planning.
•    Integrate SAP and non-SAP systems, leveraging open-source technologies where applicable.
•    Utilize advanced tools and technologies such as SAP Analytics Cloud, SAP Datasphere, Azure Data Factory, AWS Redshift, Tableau, Power BI, and machine learning frameworks (TensorFlow, PyTorch).
Team Leadership and Collaboration:
•    Act as Capability Lead (CoE) for Enterprise Planning and Data & Analytics.
•    Mentor and guide teams in Agile and SCRUM methodologies to deliver high-quality outcomes.
•    Engage cross-functional teams to ensure seamless project execution and delivery.
Client Engagement and Support:
•    Support RFP responses, effort estimation, and post-implementation transitions.
•    Provide end-user training and ongoing client support to ensure solution adoption and success.
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Key Skills and Qualifications
Education and Experience:
•    Over 12 years of experience in IT business transformations, including SAP analytics and cloud solutions.
•    Proven track record of leading 3+ end-to-end SAC planning implementations with S/4HANA.
•    Experience in financial services is preferred.
Technical Expertise:
•    Proficiency in SAP Analytics Cloud, SAP Business AI, S/4HANA, BW/4HANA, and SAP Datasphere.
•    Strong knowledge of cloud platforms (AWS, Azure) and tools like Tableau, Power BI, KNIME, and GraphDB.
•    Experience with machine learning frameworks (TensorFlow, PyTorch) and programming languages (R, Python).
Soft Skills:
•    Excellent communication skills, both written and spoken, in English.
•    Strong problem-solving and analytical abilities.
•    Ability to engage with stakeholders at all levels and across geographies.
Preferred Skills:
•    Experience with financial services clients.
•    Familiarity with Agile project methodologies, including SCRUM.

 

Works in the area of Software Engineering, which encompasses the development, maintenance and optimization of software solutions/applications. 1. Applies scientific methods to analyse and solve software engineering problems. 2. He/she is responsible for the development and application of software engineering practice and knowledge, in research, design, development and maintenance. 3. His/her work requires the exercise of original thought and judgement and the ability to supervise the technical and administrative work of other software engineers. 4. The software engineer builds skills and expertise of his/her software engineering discipline to reach standard software engineer skills expectations for the applicable role, as defined in Professional Communities. 5. The software engineer collaborates and acts as team player with other software engineers and stakeholders.