SAP Financial Analyst

• Master data cleanup and validation (profit centers, cost centers, data structures)
• Support migration from current SAP systems to S/4HANA
• Process mapping for finance workflows
• Analyze and understand existing data structures and flows
• Collaborate closely with FP&A, revenue accounting, and cross-functional teams
• Execute daily financial reporting tasks (P&L, variance analysis)
• Build/modify dashboards and reports (Power BI preferred)

• This is a Sr level role. Minimum 10+ years of experience required
• Experience with financial reporting, P&L analysis, cost variance
• Understanding of core finance concepts (e.g., gross margin)
• Strong SAP experience (ERP data structures, master data)
• Exposure to S/4HANA transition environments (experience helpful, not mandatory)
• Understanding of financial data flows and reporting systems (e.g., TM1/SACP transition exposure is a plus)
• Proficiency in data analysis and reporting tools (Power BI advantageous)
• Ability to interpret how reports are built, not just generate outputs

OTSI is a global technology partner providing enterprise IT consulting, digital solutions, and managed services. We help organizations modernize complex technology landscapes, harness the power of data, and build scalable AI-led ecosystems to accelerate innovation and business growth. With over 26 years of experience, we consistently turn complex challenges into success stories through our strong technical capabilities and deep industry knowledge. Our global team of 1,800+ professionals, spread across 6 countries, delivers cutting-edge solutions for customers across Banking, Financial Services, Insurance, Transportation & Logistics, Energy & Utilities, Healthcare & Life Sciences, Government, Hi-Tech, Telecom & Media, Manufacturing, and more. Our focused technology areas: · AI/ML (Agentic AI Solutions, GenAI/LLMs, Natural Language Processing, Intelligent Processing, Physical Intelligence) · Data & Analytics (Data Architecture, Data Engineering, Data Migration, Data Modernization, Big Data, Analytics and BI) · Cloud (Cloud Computing, Cloud Migration, Cloud-Native Architecture, Hybrid and Multi-Cloud) · Digital Engineering (Application Modernization, Product Engineering, Platform Engineering, DevSecOps) · Quality Engineering (Manual Testing, Nonfunctional testing, Test Automation, Digital Testing)