<p>Key Responsibilities:</p><ul><li><p>Material Planning & MRP: Execute and analyze MRP in SAP S/4 HANA to drive procurement actions and manage exceptions.</p></li><li><p>Inventory Management: Implement Consumption-Based Planning to maximize inventory turns and reduce excess stock.</p></li><li><p>Engineering Collaboration: Process Engineering Changes (ECNs) and maintain accurate Bills of Materials (BOM) to ensure system data reflects current designs.</p></li><li><p>Supply Strategy: Partner with Sourcing and Procurement to define commodity strategies and mitigate supply chain risks.</p></li><li><p>Process Improvement: Contribute to global planning initiatives focusing on Lean methodology and efficiency.</p></li></ul><p>What TechnipFMC is Looking For:</p><ul><li><p>Education: Bachelor’s degree in Mechanical Engineering, Business Administration, or Supply Chain.</p></li><li><p>Experience: 3 to 6 years of planning experience in a manufacturing environment.</p></li><li><p>Technical Skills: Proficiency in SAP S/4 HANA (MM/PP modules) and Advanced MS Excel.</p></li><li><p>Domain Knowledge: Strong understanding of Engineering BOMs and manufacturing processes.</p></li></ul><h3>experience</h3>6

Job Title : Data management- middle officeLocation : Hyderabad Experience : 2-4years  WORK EXPERIENCE / KNOWLEDGE: Job profile - Process - Bank loan reconciliation, validating position data, Position reconciliation between agents and lenders in the syndicated loan market. Lenders and agent banks in the syndicated loan market face many challenges in sharing and validating position information as loan assets are traded or pass through lifecycle events. Data discrepancies cause delays in settlement and create the need for manual reconciliation of information. Application used- WSO <br />Admin<br />   A Bachelor’s Degree in Finance, Accounting, Economics, Math or related field (or an<br />equivalent combination of education, training, experience that would provide the<br />knowledge, skills and ability required)<h3>experience</h3>5

Key Responsibilities<ul><li><p>Collect, clean, and validate data from multiple sources.</p></li><li><p>Analyze large datasets to identify patterns, trends, and insights.</p></li><li><p>Create dashboards, reports, and visualizations using tools like Excel, Power BI, or Tableau.</p></li><li><p>Work with business stakeholders to understand requirements and translate them into data solutions.</p></li><li><p>Perform ad-hoc analysis to support business decisions.</p></li><li><p>Develop and maintain automated data pipelines and reporting processes.</p></li><li><p>Present insights and recommendations to management.</p></li><li><p>Ensure data accuracy, integrity, and security.</p></li></ul><h3>experience</h3>10