Fusion Data Intelligence Specialist

We are seeking a skilled professional to leverage data from various sources to create actionable insights and drive strategic decision-making. The ideal candidate will be responsible for integrating and analyzing data from diverse platforms, ensuring data quality and consistency, and utilizing advanced analytics techniques to uncover trends and patterns.

FDI (Fusion Data Intelligence) specialist to design, build, and support BI analytics and dashboards across Fusion ERP and EPM using the FDI schema and Oracle analytics tooling. You will own end-to-end delivery—from requirements and data modelling to dashboard UX, performance tuning, governance, and production support.

Key responsibilities

• Dashboard design & delivery (FDI/OAC): Build high-quality FDI dashboards and KPIs with strong UX (navigation, prompts/filters, drill-downs, alerts, mobile views).
• Semantic modelling: Design conformed dimensions and subject areas across ERP, HCM, EPM; define metrics (e.g., GL balances, AP aging, procurement spend, project performance, headcount/attrition, workforce cost, plan vs. actuals).
• Security & governance: Implement row-level/data-role security (BU/LE/Dept), lineage, naming standards, and documentation.
• Quality & reconciliation: Reconcile dashboard results to source (ERP/HCM/EPM); define controls and exception reports.
• Stakeholder enablement: Run demos, training, and hand-offs; create runbooks and self-service guides.
• Lifecycle & DevOps: Promote content across environments, version assets, manage change/releases, and support production incidents.
  
  
  

Required Qualifications

• 4 – 6+ years in Oracle analytics/BI, including 2+ years hands-on with FDI (or FAW) and Oracle Analytics Cloud/Server (OAC/OAS).
• Strong FDI schema knowledge across ERP (GL, AP, AR, Procurement, Projects), and EPM (Planning/FCCS/ARCS reporting datasets).
• Advanced SQL (Oracle), dimensional modelling (star/snowflake), and KPI design; capable of authoring logical/derived measures and complex filters.
• Proven record building production dashboards with Data Visualization (DV) and classic analytics, including actions/drill-anywhere and alerts.
• Experience with OTBI and BI Publisher (data models, bursting, scheduling) for complementary reporting.
• Security: data roles, duty roles, row-level security implementation and testing.
• Excellent requirements gathering, stakeholder communication, and documentation skills.
  
  
  

The successful candidate will possess strong analytical skills, proficiency in data analytics tools, and a solid understanding of data management principles. Excellent communication skills are essential for presenting findings and recommendations to stakeholders.

---