sap hana finance consultant

Job Description

Hi Candidates we have job openings in one our MNC Company Interested candidates share your updated resume with all details to chandrakala.c@i-q.co Notice period should be 0-15 days only Role & responsibilities The SAP HANA Finance Data Analyst plays a critical role in bridging the gap between legacy Oracle Finance data sources and new data sources within Microsoft Fabric, sourced from SAP HANA. This role focuses on analyzing, mapping, and validating financial data to ensure a seamless transition during the data platform migration. The successful candidate will bring deep expertise in SAP HANA, financial data structures, and analytical skills to support business continuity and reporting accuracy in the new environment. Responsibilities Analyze and document legacy Oracle Finance data structures, identifying key financial entities, hierarchies, and relationships for migration. Map Oracle Finance data to corresponding SAP HANA Finance data sources within Microsoft Fabric, ensuring accuracy and completeness. Collaborate with the Onsite Data Modernization Architect and Offshore Data Engineer to align data mappings with the target Fabric architecture. Validate migrated financial data in Microsoft Fabric, ensuring consistency with SAP HANA sources and business requirements. Develop and maintain data mapping documentation, including transformation rules and reconciliation processes. Work with the Offshore Test Lead to design test cases for financial data validation and support Power BI reporting requirements. Proactively identify data discrepancies or mapping challenges, proposing solutions to minimize risks during the migration. Skills Bachelors degree in finance, computer science, data analytics, or a related field. 4+ years of experience in data analysis, with a focus on SAP HANA Finance and Oracle Finance systems. Strong understanding of financial data models (e.g., GL, AP, AR) and their implementation in SAP HANA and Oracle. Hands-on experience with data mapping, ETL processes, and tools like Microsoft Fabric or Azure Data Factory. Advanced SQL knowledge for querying and validating financial datasets. Familiarity with Power BI for reporting and visualization of financial data is a plus. Excellent analytical skills with a customer-centric mindset, focusing on value delivery and attention to detail. Strong communication skills to collaborate with technical and business stakeholders in an onsite/offshore environment. Preferred candidate profile Perks and benefits