ASSISTANT MANAGER - CORE ANALYTICAL ENGINEERING SERVICE

The job involves driving strategic initiatives to enhance operational efficiency within the engineering service department. You will collaborate with cross-functional teams to analyze and interpret data for decision-making purposes. Your role will also include developing and implementing data models, databases, data collection systems, and other strategies to optimize statistical efficiency and data quality. Identifying trends and generating insights to drive key business recommendations will be a key aspect of your responsibilities. Additionally, you will provide leadership in data analysis and process improvement within the engineering service department. You will assist in preparing and delivering technical presentations to stakeholders to communicate analytical findings and recommendations. It is essential to stay updated on industry best practices and technological advancements to suggest improvements within the team. As a part of your responsibilities, you will lead strategic projects aimed at enhancing operational productivity within the engineering service department. Working collaboratively with various teams to analyze and derive actionable insights from data will be a crucial aspect of your role. You will design and implement data models and databases to enhance statistical efficiency, identify patterns and trends in data to make informed business decisions, and offer guidance on data analysis methodologies and process enhancements. Presenting analytical findings and recommendations through technical presentations will also be a part of your day-to-day tasks. To qualify for this role, you should hold a Bachelor's degree in Engineering, Computer Science, Data Science, or a related field. You must have proven experience in data analysis, statistical modeling, and interpretation within an engineering setting. Strong proficiency in data visualization tools and techniques is required. Excellent communication skills are essential, with the ability to convey complex data insights effectively. Leadership capabilities to drive initiatives and provide guidance in a team environment are also expected. Familiarity with industry-specific tools and technologies for data analysis and process optimization will be beneficial for this position.,