Data Analytics Engineer

Responsibilities and Tasks - Focus on using AI to accelerate projects IMPLEMENT AND MAINTAIN DATA DRIVEN DECISION MAKING PROCESSES. Promote a data driven culture. Provide quality data solutions that create business value and enable the NVEG PE to meet strategic objectives. Create metrics to gauge projects, data quality, and data solutions success. Create and manage metrics dashboards and strategy. Develop evaluation tools to measure and monitor metrics effectiveness. Collaborate with others to identify, clarify, and capture internal customer requirements. Develop metrics, Key Performance Indicators (KPIs), and indicators that have correlation to the on time delivery and inventory of our products. Work with manufacturing IT and other functional areas on developing strategic business processes with clear and agreed upon business rules for each assignment. COLLECT, ORGANIZE, AUTOMATE AND PREPARE DATA FOR ANALYSIS. Work with various volumes of data from multiple disparate sources. Perform data analysis and mining to help generate solutions to business problems. Ensure processes taken to maintain data integrity. Understand available data what data is relevant. Manage and optimize data discovery and cleansing. Collaborate with data architects (e.g. IS engineers, BI engineers, DBAs) to ensure that data needed is available. Develop and automate jobs for various volumes of data and reports. Identify new data sources in the network that will create new insights to business needs. CREATE DATA ANALYTICS SOLUTIONS TO ADDRESS BUSINESS OPPORTUNITIES AND VALUE. Maintain an understanding of company and department strategies and goals. Understand the business objectives to develop and establish success criteria metrics. Translate business problems into projects and solutions. Understand business processes (data sources and meaning). Explore relevant data through visualization and statistical methods. Conduct and participate in analysis, design, statistical/model algorithm review, …