Senior SAP Consultant

About Client:

Our Client is a global IT services company headquartered in Southborough, Massachusetts, USA. Founded in 1996, with a revenue of $1.8B, with 35,000+ associates worldwide, specializes in digital engineering, and IT services company helping clients modernize their technology infrastructure, adopt cloud and AI solutions, and accelerate innovation. It partners with major firms in banking, healthcare, telecom, and media.

Our Client is known for combining deep industry expertise with agile development practices, enabling scalable and cost-effective digital transformation. The company operates in over 50 locations across more than 25 countries, has delivery centers in Asia, Europe, and North America and is backed by Baring Private Equity Asia.

Job Title: SAP Senior Consultant

Key Skills: SAP Analytics Cloud ( SAC), SAP Datasphere, SAP HANA, ABAP, Java, Python

Job Locations: Bengaluru, Chennai

Experience: 7 – 10 Years

Budget: 19LPA

Education Qualification: Any Graduation

Job Description:

Role: SAP Analytics Cloud (SAC) and SAP Datasphere (DWC) Consultant

Experience: Overall, 8-10 years and 2-4 years in relevant technology.

Primary skillset: SAP SAC and SAP Datasphere (both mandatory)

Secondary skillset: ABAP, Java, Python

Preferred with Finance and/ or Operations domain, but not mandatory.

Design and develop analytic applications using SAP Analytics Cloud (SAC) and SAP Datasphere, focusing on KPI and analytical models that support strategic business initiatives.

Build interactive dashboards and KPI applications in SAC for both import and live scenarios, leveraging data sourced from SAP Datasphere and other platforms.

Create scalable, secure, and governed data models in SAP Datasphere to support advanced analytics and reporting use cases.

Integrate SAC dashboards seamlessly with SAP Datasphere datasets, ensuring up-to-date and consistent analytics for end users.

Utilize predictive scenarios, R visualizations, and external libraries to create immersive and insightful user experiences in both SAC and Datasphere environments.

Continuously optimize dashboard and application performance across SAC and Datasphere, while providing recommendations for enhancements and identifying bottlenecks.

Develop and document Business Objects Universes, reports, and dashboards, ensuring accuracy and alignment with enterprise data standards.

Connect, model, and harmonize data from SAP and non-SAP sources in Datasphere, facilitating cross-system analytics through SAC.

Design comprehensive reports with multiple tabs, queries, visualizations, and drill down capabilities tailored to business requirements.

Apply best practices in data visualization and user experience, enhancing accessibility and adoption of solutions built on SAC and Datasphere.

Demonstrate expertise in data integration, connectivity, and modelling across SAC, Datasphere, and other data platforms.

Utilize strong analytical and problem solving skills to address technical challenges and drive continuous performance improvement.

Provide technical leadership, coaching, and mentorship to team members, fostering knowledge growth in SAC and Datasphere technologies.

Establish and maintain best practices for software quality, documentation, and project delivery within agile and scrum frameworks.

Customize SAC applications using scripting languages (such as JavaScript) and leverage advanced features in Datasphere for data orchestration and automation.

Essential requirements

Degree in Computer Science, Business Informatics or a comparable degree.

Overall, 7-10 years of experience and at least 2-3 years experience working on SAP SAC / Datasphere solutions as a Consultant, Analyst, Developer or relevant role.

Proven experience designing and implementing solutions utilizing SAC for planning, forecasting, and KPI reporting, as well as integrating with SAP Datasphere and upstream processes.

Expertise with SAC predictive functionality, Smart features (Smart Assist, Smart Predict, Smart Discovery), advanced story canvases, data blending, cross-calculations, input controls, and linked analysis.

Skilled in connecting SAC and Datasphere to varied data sources, including SAP HANA, and external databases.

Proficiency in SAP Datasphere for building unified, harmonized, and governed data models to serve enterprise analytics.

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