Auf einen Blick
- Aufgaben: Join our team to design and implement SAP Analytics solutions for clients.
- Arbeitgeber: Rizing, a Wipro company, specializes in SAP BTP consulting and implementation services.
- Mitarbeitervorteile: Enjoy remote work flexibility and a collaborative team environment.
- Warum dieser Job: Leverage your skills while making a real impact in a supportive culture.
- Gewünschte Qualifikationen: 5+ years of experience with SAP Analytics Cloud and Datasphere required.
- Andere Informationen: Opportunity to travel 25-50% and engage in diverse projects.
Das voraussichtliche Gehalt liegt zwischen 72000 - 108000 € pro Jahr.
Rizing, a Wipro company, provides best-in-class solutions to meet the global client demand for SAP BTP consulting, implementation services and products by leveraging our industry expertise to help companies run better. Our SAP BTP Data & Analytics Team is seeking to hire a full-time Senior Consultant who will specialize in the SAP Analytics Cloud and SAP Datasphere solution. This client-facing role is a great opportunity to leverage your current skills and experience while acquiring diverse hands-on SAP BTP skills in a highly collaborative and team-spirited environment. Our ideal candidate has at least 5 years of experience and possesses a combination of these technical skills and competencies.
Essential Functions
- Interact with customer to understand the business requirements, blueprint, build, test, and support the overall solution based on SAP Analytics Cloud (SAC) and SAP Datasphere.
- Gather and analyze requirements, model client data, key performance indicators, and/or market data using a broad set of analytical tools and techniques to develop quantitative and qualitative business insights and improve decision-making for our customers.
- Deliver the full life cycle of SAP analytics solutions (Discovery, Prepare, Design, Build, Deploy and Support).
- Estimate and ensure timely delivery for the project deliverables.
Required Qualifications
- At least 5 years experience in Designing and Developing Analytic applications using SAP Analytics Cloud and / or SAP Datasphere with a minimum of 3 full implementation cycles.
- Good understanding of all the SAP Analytics technology (SAP Analytics Cloud, SAP Datawarehouse Cloud, BW4/HANA).
- Extensive knowledge of SAP Analytic Cloud Advanced Story Design options, SAP Analytics Cloud predictive capabilities, augmented analytics, forecasting, etc.
- Good Understanding of SAP Analytic Cloud, Analytics Designer and advanced options using scripting capabilities.
- Understanding of defining the data models in SAP Datasphere, integrations of SAP and non-SAP systems, advantages, and disadvantages of different modelling options.
- Good understanding on data visualization and data modelling best practices.
- Experience with SAP BW and / or SAP HANA Modeling.
- Knowledge in SQL and R scripting.
- Knowledge in JavaScript.
- Willingness to travel 25-50%.
Desired Qualifications
- Experience in SAP HANA SQL Script and CDS View modelling.
- Experience in SAP SuccessFactors.
Knowledge, Skills, and Abilities
- Engage in analytical and technical discussions and communicate complex concepts with other Rizing team members as well as the client to ensure buy-in.
- Provide subject matter expertise, design expertise for SAP data and analytics solutions.
- Be a proactive team player, and an effective communicator with the ability to work independently.
- Leverage strong written and verbal communication, presentation, client service and technical writing skills, coupled with a strong interest in further developing and integrating operations with technology skills.
Rizing provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training.
If your passion is solving puzzles, improving processes, leading change as part of a team of SAP experts, then this might be the place for you.
Senior SAP Analytics Cloud & Datasphere Consultant (remote: anywhere US) Arbeitgeber: Rizing
Kontaktperson:
Rizing HR Team
StudySmarter Bewerbungstipps 🤫
So bekommst du den Job: Senior SAP Analytics Cloud & Datasphere Consultant (remote: anywhere US)
✨Tip Number 1
Make sure to highlight your experience with SAP Analytics Cloud and SAP Datasphere during any conversations. Be prepared to discuss specific projects where you've successfully implemented these solutions, as this will demonstrate your hands-on expertise.
✨Tip Number 2
Familiarize yourself with the latest trends and updates in SAP BTP and analytics technologies. Being knowledgeable about recent advancements can help you engage in meaningful discussions with the interviewers and show your commitment to staying current in the field.
✨Tip Number 3
Prepare to discuss your approach to client interactions and how you gather and analyze business requirements. Sharing examples of how you've effectively communicated complex concepts to clients will showcase your ability to build strong relationships.
✨Tip Number 4
Since this role involves a significant amount of collaboration, be ready to share examples of how you've worked in team settings. Highlight your communication skills and how you've contributed to successful project outcomes through teamwork.
Diese Fähigkeiten machen dich zur top Bewerber*in für die Stelle: Senior SAP Analytics Cloud & Datasphere Consultant (remote: anywhere US)
Tipps für deine Bewerbung 🫡
Tailor Your Resume: Make sure your resume highlights your experience with SAP Analytics Cloud and SAP Datasphere. Include specific projects where you have designed and developed analytic applications, emphasizing your role in the full implementation cycles.
Craft a Compelling Cover Letter: In your cover letter, express your enthusiasm for the role and the company. Mention how your skills align with the job requirements, particularly your experience in data modeling and analytics. Use examples to demonstrate your problem-solving abilities and teamwork.
Showcase Technical Skills: Clearly list your technical skills relevant to the position, such as SQL, R scripting, and JavaScript. Provide context on how you've applied these skills in previous roles, especially in relation to SAP technologies.
Highlight Communication Skills: Since this is a client-facing role, emphasize your communication skills in both your resume and cover letter. Share examples of how you've effectively communicated complex concepts to clients or team members, showcasing your ability to engage in analytical discussions.
Wie du dich auf ein Vorstellungsgespräch bei Rizing vorbereitest
✨Showcase Your Technical Expertise
Be prepared to discuss your experience with SAP Analytics Cloud and SAP Datasphere in detail. Highlight specific projects where you designed and developed analytic applications, and be ready to explain the challenges you faced and how you overcame them.
✨Understand the Business Context
Demonstrate your ability to interact with clients by discussing how you gather and analyze business requirements. Share examples of how your insights have improved decision-making for previous clients, showcasing your understanding of their needs.
✨Communicate Complex Concepts Clearly
Practice explaining technical concepts in a way that is easy for non-technical stakeholders to understand. This will show your ability to engage in analytical discussions and ensure buy-in from clients and team members.
✨Emphasize Collaboration and Team Spirit
Since this role requires working in a highly collaborative environment, share examples of how you've successfully worked in teams. Highlight your proactive approach and effective communication skills that contribute to a positive team dynamic.