SAP Analytics - SAC - Senior Associate

Overview

Senior Associate in PwC Acceleration Center India's Digital Core Modernisation practice, providing consulting on SAP data and analytics solutions. You will analyze client requirements, design and implement data management and analytics solutions, and provide training and support for effective utilization of SAP data and analytics tools.

What you'll do

• Analyze client requirements to design and implement SAP data management and analytics solutions.
• Develop data models and perform complex data analysis to support data-driven decision-making.
• Create visualizations and reports using SAP Analytics Cloud and SAP BusinessObjects BI.
• Collaborate with clients to optimize data management processes and enhance data quality.
• Provide training and support for effective utilization of SAP data and analytics tools.
• Integrate SAP data solutions to streamline business operations and improve efficiency.
• Conduct data migration and data integration tasks using SAP Data Intelligence Cloud.
• Implement data quality improvement plans to maintain data integrity and security.
• Utilize data analysis software to derive valuable insights and inform strategic objectives.
• Navigate complex situations to build meaningful client relationships and deliver quality solutions.

What you'll need

• At least a Bachelor's degree.
• At least 5 years of experience.
• Oral and written proficiency in English.

Nice to have

• One or more SAP certifications in Analytics or Data Modeling, such as SAP Datasphere, SAP BW/4HANA, or related credentials.
• Deep hands-on expertise in data modeling within SAP Datasphere and BW/4HANA (InfoObjects, ADSOs, CompositeProviders, graphical/scripted views), with working knowledge of SAP Business Data Cloud.
• Working proficiency in SAP Analytics Cloud (SAC) reporting, building stories, dashboards, and visualizations to validate and showcase modeled data.
• Strong experience designing semantic layers (dimensions, hierarchies, calculated/restricted key figures, currency conversions) that translate business requirements into robust analytic models.
• Functional exposure to one or more core workstreams (R2R, SD, P2P), enabling context-rich model and KPI design.
• Working knowledge of modeling across hybrid/multi-source landscapes (SAP and non-SAP), including federation or integration with Databricks and Snowflake-backed data.
• Excellence in complex data analysis and model performance optimization.
• Comfort embracing change and driving innovation in modeling-led analytics consulting, particularly around emerging capabilities like Joule and agentic AI for model design.
• Developed skills in semantic model governance, access control, and data quality validation at the modeling layer.
• Proven ability to mentor and upskill teams in modern SAP data modeling and analytics solutions.