SAP Analytics Cloud & Datasphere with FP&A Analytics

Senior Analytics Leader

You will collaborate closely with Finance, IT, Data & Platform teams, and cross-functional business stakeholders to ensure robust governance, high-quality reporting solutions, and broad adoption of analytics capabilities.

Key Responsibilities

Analytics & Dashboard Ownership

• Lead the end-to-end development of

  self-service dashboards

  within SAP Analytics Cloud, leveraging SAP Datasphere as the core data foundation.
• Deliver high-quality financial analytics and reporting solutions that support FP&A decision-making.

Data Governance & Quality

• Establish and manage a comprehensive

  data governance framework

  for financial data.
• Ensure strong data controls, data lineage, validation processes, and quality assurance across all reporting environments.

Self-Service Enablement

• Drive enterprise-wide adoption of

  self-service reporting and analytics

  .
• Provide hands-on coaching, training, and governance oversight to ensure responsible and consistent use of analytics tools.

Visualization & Storytelling

• Translate complex financial concepts into

  clear, compelling visuals and analytics stories

  .
• Partner with business users to refine narratives and ensure insights are communicated effectively.

Data Integration & Modeling

• Oversee data ingestion, transformation, and modeling activities to create

  trusted financial data models

  .
• Build and maintain a

  single source of truth

  for FP&A reporting.

Stakeholder Management

• Communicate analytics roadmaps, project progress, risks, and dependencies to leadership and stakeholders.
• Manage expectations, drive alignment, and ensure timely delivery of analytics initiatives.

Qualifications & Skills

• Proven experience with

  SAP Analytics Cloud (SAC)

  and

  SAP Datasphere

  (mandatory).
• Experience with

  Power BI/Tableau

  is preferred.
• Strong understanding of

  FP&A processes

  , financial modeling, and enterprise data architecture.
• Hands-on expertise in building dashboards, data models, and visualization frameworks.
• Excellent communication, storytelling, and stakeholder management skills.
• Ability to balance technical depth with strategic leadership.