Company Overview
An American corporation that engages in the design, manufacture, marketing, and service of semiconductor processing equipment used in the fabrication of integrated circuits. Its products are used primarily in front-end wafer processing, which involves the steps that create the active components of semiconductor devices (transistors, capacitors) and their wiring (interconnects). The company also builds equipment for back-end wafer-level packaging (WLP), and for related manufacturing markets such as for microelectromechanical systems (MEMS).
Job Description
Looking for a candidate with experience in
• Developing and maintaining metrics and dashboards relative to organizational performance
o Joining data across a variety of platforms in a sustainable and scalable fashion
o Provide and maintain M/S PowerPoint presentations
o Support corporate growth initiatives to migrate data into standardized platforms (Power BI, Qlik Sense, etc.)
• Data mining which provide actionable data in response to changing business requirements
o Responsible to translate business requirements into appropriate data queries
Requirements
• Expert in Data Base Development - SQL Server, SAP HANA, Azure, MS Access etc.
• Good understanding and knowledge of SAP systems (SAP ECC Tcodes & Navigation)
• Expert in Reports & Dashboard development (Power BI, SAP BO, Qlik Sense, SSAS or others)
• Experience with ETL tools (SAP DS, SSIS) required
• Understanding and Experience in Manufacturing, Supply Chain and Spares Planning domain
• Strong database troubleshooting and Problem-solving skills are required. Data Analysis skills
• MS Office and Excel skills (Generation of reports)
• Excellent verbal and written communication skills, able to communicate cross-functionally
• Experience in advance analytics techniques (R, Python, SQL, statistical analysis, etc.)
Additional Information
• Knowledge of Azure cloud technologies.
• Knowledge of any programming language will be added advantage (preferably HTML, CSS, JavaScript, .Net, Java)
• Data Analysis skills and experience extracting information from SQL DB, HANA, etc.
• Clear understanding of Data Warehousing concepts. Knowledge of ETL tools required
• Knowledge of Analytical Tools & Languages: Python, R, Statistical Libraries