SAP Enterprise Analytics Senior Business Analyst/Lead Consultant in भारत

  This
senior role will lead the definition and delivery of enterprise analytics for
AstraZeneca’s Axial transformation, translating Tax priorities into scalable
data products, KPIs and dashboards across SAP S/4HANA, SAP Analytics Cloud and
SAP Datasphere.  

Strategic
value

• Enables standardised, real-time insight across finance
  and Tax  
• Creates trusted enterprise data models, semantic layers
  and common KPI definitions.  
• Connects executive, managerial and operational
  decision-making from top floor to shop floor.  
• Embeds analytics and AI into business processes,
  increasing automation and actionability.

Responsibilities

• Own the requirements lifecycle from discovery through
  delivery, converting business needs into functional specifications.  
• Shape analytics solution design and user experience for
  scalable, intuitive and actionable insight.  
• Define SAC applications, dashboards and planning use
  cases, supported by S/4HANA actuals and embedded analytics.  
• Partner with data engineering and SAP product teams on
  ingestion, transformation, harmonisation, security and performance.  
• Strengthen governance through KPI ownership, analytics
  catalogues, data quality controls, standards and data literacy.  
• Lead Fit-to-Standard workshops, manage interim-state
  issues and contribute to the evolving Analytics and AI operating model.  

Critical
capability

• Strong business analysis experience in enterprise
  analytics and BI.  
• Hands-on delivery experience across at least one full
  SAP S/4HANA implementation, including embedded analytics, SAC and
  Datasphere or BW/4HANA.  
• Deep functional understanding of Tax and broader
  Finance Domain  
• Proven ability to influence senior stakeholders and
  communicate complex insight to executive and operational audiences.  
• Strong grounding in data modelling, KPI frameworks,
  analytical storytelling and agile delivery.

Qualifications

• Lead end-to-end requirement lifecycle – from discovery
  through delivery.  
• Collaborate with senior business partners across Tax
  (and Finance) to identify analytical needs, challenges, and opportunities.  
• Translate business requirements into clear functional
  specifications for data models, KPIs, dashboards, and stories.  
• Influence analytics solution design and user
  experience, ensuring insights are intuitive, scalable, and actionable.  
• Define and design SAC analytical applications, stories,
  dashboards, and visualizations for executive, managerial, and operational
  users.  
• Support SAC Planning and Forecasting use cases (where
  applicable), including integration with S/4HANA actuals.  
• Apply best practices for SAC performance, security
  roles, data actions, and story optimization.  
• Ensure SAC content supports Top-Floor to Shop-Floor
  analytics consumption  
• Contribute to the design of enterprise data models in
  SAP Datasphere, including: Analytical datasets, Reusable semantic layers
  and Business entity models aligned with S/4HANA  
• Work with data engineering teams to define ingestion
  patterns, transformations, and harmonization rules.  
• Drive consistency across master data, hierarchies, and
  reference data to support enterprise reporting.  
• Support integration with BW/S4HANA and other data hubs
  where applicable.  
• Bring strong functional understanding of the Tax,
  including: Direct/Indirect Tax, Corporation Tax, International Tax; Tax
  Accounting; Tax Data and Compliance  
• Define Tax Key Performance Indicators and analytics
  such for Core and Operational  
• Leverage S/4HANA Embedded Analytics (CDS Views,
  Analytical Queries) to support real-time NS&SCP insights.  
• Collaborate with Tax (and Finance) functional teams to
  ensure analytics aligns with Fit-to-Standard S/4 processes.  
• Participate in data management and analytics governance
  initiatives, including: Analytics catalog design, KPI definitions and
  ownership, Data quality monitoring  
• Promote data literacy and citizen analytics within the
  business.  
• Develop and embed standards and guidelines for the
  analytics development lifecycle.  
• Prepare materials, sample datasets, and processes for
  Fit-to-Standard workshops.  
• Contribute to the ongoing evolution of the Analytics
  & AI operating model.  
• Be responsible for navigation of interim states and
  solving the problems they generate.  
• Prepare material, tools, sample data, and processes for
  Fit-2-Standard workshops. Lead integration of
  analytics and AI into business processes, where possible automating decision
  making