Job title: Master data Analyst

Company: Veeva

Job description: Vestas is the world leader in wind technology and a driving -force in the development of the wind power industry. Vestas’ core business comprises the development, manufacture, sale, marketing and maintenance of Wind Turbines. Come and join us at Vestas! Service Supply Chain Business Partner SSCBP Planning SSCBP Spares Planning At Vestas, Service SIOP (Sales, Inventory Operations Planning) we are constantly optimizing the service supply chain in order to deliver on time to our customers, and at the same time have an optimized supply chain with low inventory and efficient set up. It is an ever developing task in a forward-thinking environment.Service SIOP has the responsibility to define delivery concepts and network setup to meet customer requirements, forecast and planning for all materials for the service business, inventory management maintaining optimal inventory level across the value chain, and project management of continuous improvement initiatives within supply chain. Responsibilities Ensures service supply chain master data integrity in key systems as well as maintaining the processes to support the data quality/accuracy Identify areas for data quality improvements and seeks to resolve data quality problems through error detection and correction, process control and improvement, or process design strategies Ensures quality of master data in key systems, as well as, development and documentation of processes with other functional data owners to support ongoing maintenance and data integrity In collaboration with subject matter experts, defines and implements data strategy, policies, controls, and programs to ensure the enterprise data is accurate, complete, secure, and reliable Manages, analyzes, and resolves data initiative issues and manages revisions needed to best meet the customer requirements while adhering to published data standards Work closely with the business/IT to ensure alignment of master data rules and the operations of the application meet all requirements Define, measure and monitor KPIs related to Master data Qualifications Preferably graduate/post graduate in any stream Should haveexperience in Master data management Solid experience in Handling large data sets & Reporting Working knowledge in SQL/R/Python is needed Competencies Expert knowledge in SAP is must (MM, SD module specifically) , MS Office suites Ability to understand the complex supply chain network and shouldbe able to communicate complex supply chain information in a simple and transparent manner Cross cultural understanding is necessary andAdvanced in stakeholder management skills Advanced verbal and written communication skills in English Working style is well structured, proactive, consistent and persistent Good system and business understanding Ability to work on Ambiguity to provide clarity and sail through the murky water Not restricting himself/herself within the Roles & Responsibilities boundaries and willingness to reach out for getting things done What We Offer We offer an exciting job with excellent opportunities for professional and personal development in an inspiring environment at a well-known producer of wind turbines. We highly value initiative, responsibility and the right balance between creativity and quality in all solutions.You will become part of a highly professional environment with a solid business commitment.Our working environment is informal and you will get a unique opportunity to influence your own position in a rapidly developing environment.ive, the desire to take on responsibility, and the right balance between creativity and quality in all solutions. At Vestas your growth is our benefit.Supporting the status quo Additional Information Your primary workplace will be in Chennai, India. Please note: We do amend or withdraw our jobs and reserve the right to do so at any time, including prior to the advertised closing date. Please be advised to apply on or before 15th Jun 2023.

Expected salary:

Location: India

Job date: Sat, 27 May 2023 07:59:53 GMT

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