encompasses a variety of tasks including requirement extraction, test scenario specification, scheduling, execution reporting, and customer liaison. Responsibilities Extract requirements from applicable specifications. Group Reporting and Corrective Actions System (FRACAS). Extract reports from the FRACAS system for reporting to
years post qualification experience A Degree in Metallurgy or related Qualification. Below age of 44. Exceptional
years post qualification experience A Degree in Metallurgy or related Qualification. Below age of 44. Exceptional
Experience DAX SQL Advanced Excel Transact SQL Extract, transform and loading (ETL) principles SSRS Automated
deploy machine learning, AI, and algorithms to extract insights, predict outcomes, and optimize processes analysis, data exploration, and data preprocessing to extract valuable information from large datasets Apply
successful candidate will play a crucial role in extracting, analyzing, and interpreting data to provide Responsibilities: Querying databases using SQL to extract and manipulate data for analysis. Developing and
advanced analytics and machine learning techniques to extract actionable insights from vast amounts of data. Expertise in SQL and relational databases for data extraction and manipulation. Excellent problem-solving skills
advanced analytics and machine learning techniques to extract actionable insights from vast amounts of data. Expertise in SQL and relational databases for data extraction and manipulation. Excellent problem-solving skills
advanced analytics and machine learning techniques to extract actionable insights from vast amounts of data. Expertise in SQL and relational databases for data extraction and manipulation. Excellent problem-solving skills
implement and maintain ETL processes for data extraction, transformation, and loading Maintain data security etc.) Experience working with external APIs to extract and import data Experience with languages such