Sap Analyst

Location: Mumbai, Hyderabad,Bangalore Experience-6-9yrs Job Title: Offshore Lead SAP Analytics (SAC, Business Data Cloud, Datasphere) Position Overview Employment Type : Full-Time Work Arrangement : Remote / Hybrid (Offshore Location) Industry : Professional Services / Accounting & Advisory Experience Level : Senior Lead (6+ Years) About the Organization We are one of the largest and fastest-growing professional services and advisory firms in the industry. Recognized with multiple "Best Places to Work" awards, we prioritize innovation, autonomy, and work-life flexibility. We believe great solutions arise when diverse cultures, ideas, and experiences come together, empowering our team members to show up authentically and design a career they love. Role Summary Data and analytics are foundational to our firm's growth, profitability, and client service strategy. We are seeking a highly strategic, forward-thinking Offshore Lead with deep expertise across SAP Analytics Cloud (SAC), SAP Business Data Cloud, and SAP Datasphere . In this role, you will modernize our core analytics platforms, standardize firm-wide KPIs, and enable trusted, real-time insights for executive leadership. You will shape how the firm leverages enterprise data to improve financial performance, operational efficiency, and strategic decision-making. Key Responsibilities Team Leadership : Manage and mentor a full-time offshore analytics team, fostering a culture of innovation, accountability, and technical excellence. Strategy & Roadmap : Translate firm-level business strategy into actionable analytics roadmaps that deliver measurable outcomes. Architecture Modernization : Architect, optimize, and scale SAC, Datasphere, and Business Data Cloud environments to support real-time data delivery. KPI Standardization : Define, standardize, and operationalize firm-wide KPIs, dashboards, and analytics frameworks. Stakeholder Collaboration : Partner with cross-functional leaders in Finance, Operations, and Technology to identify analytics opportunities and deliver data-driven solutions. Analytics Delivery : Oversee the development of SAC stories, planning models, predictive analytics, and integrated data models. Data Pipelines : Build end-to-end data pipelines supporting real-time and batch analytics across SAP and non-SAP environments. Governance & Security : Enforce data governance, lineage, quality, and security standards consistently across all analytics platforms. Change Management : Drive continuous process improvement and support change management efforts to increase data literacy firm-wide. Required Qualifications & Technical Skills Experience : 6+ years of hands-on experience with SAP Analytics Cloud (SAC), SAP Business Data Cloud, and SAP Datasphere. Leadership : Proven track record leading offshore or distributed analytics teams within a professional services environment. Data Integration : Extensive experience integrating data from SAP ECC, S/4HANA, and BW/4HANA into SAP Datasphere using Data Flows, Replication Flows, and CDS/OData-based extraction. Data Modeling : Strong proficiency in Datasphere data modeling, including fact/dimension models, semantic layers, federated views, and space-based architecture. SAC Connections : Hands-on expertise exposing Datasphere models to SAC through live and import connections for reporting, planning, and dashboards. Technical Design : Proven ability designing CDS Views, SAC dashboards, planning models, and optimization mechanisms for seamless data flows. Communication : Excellent verbal and written communication skills with the ability to influence and collaborate with senior stakeholders. Preferred Qualifications (Nice-to-Haves) Background in professional services, financial services, or consulting environments. Expertise in KPI standardization, enterprise reporting frameworks, and analytics governance. Familiarity with SAP BTP , data federation, and cloud-based data architecture. Experience with predictive analytics, advanced modeling, or AI-enabled insights within SAC. Proven ability to drive organizational change and increase analytics adoption in fast-paced, high-growth settings.