Prog/Project Manager, Advanced

Overview Keysight is on the forefront of technology innovation, delivering breakthroughs and trusted insights in electronic design, simulation, prototyping, test, manufacturing, and optimization. Our ~15,000 employees create world-class solutions in communications, 5G, automotive, energy, quantum, aerospace, defense, and semiconductor markets for customers in over 100 countries. Learn more about what we do. Our powerful, award-winning culture embraces a bold vision of where technology can take us and a passion for tackling challenging problems with industry-first solutions. Diversity, equity & inclusion are integral parts of our culture and drivers of innovation at Keysight. We believe that when people feel a sense of belonging, they can be more creative, innovative, and thrive at all points in their careers. Work closely with Global business teams for requirement gathering, understanding, identify opportunities and use data to propose solutions for effective decision making. Lead and/or participate in Business requirements analysis, functional and technical design, development, and system testing. Exceptional communication and presentation skills. Ability to deliver under pressure and to tight deadlines. Exhibit attention to detail. Superior listening, communication and problem-solving skills. Ability to investigate and resolve customer issues. Self-motivated; works independently with minimum direction in a distributed team environment. Establish new systems and processes and look for opportunities to improve the flow of data. Maintain clear and coherent communication, both verbal and written, to understand data needs and report results Assess the effectiveness of data sources and data-gathering techniques and improve data collection methods. Conduct research and develop prototypes and proof of concepts. Look for opportunities to use insights/datasets/code/models across other functions in the organization. Build a strong internal collaboration with Global business teams, provide effective mentoring to data engineers/Analysts, support company initiatives such as company integrations; IT changes etc. and ensure SOX compliance and following Keysight Policies, Guidelines & Standard of Business Conducts. Responsibilities Key Responsibilities include: Work closely with Global business teams for requirement gathering, understanding, identify opportunities and use data to propose solutions for effective decision making. Lead and/or participate in Business requirements analysis, functional and technical design, development, and system testing. Exceptional communication and presentation skills. Ability to deliver under pressure and to tight deadlines. Exhibit attention to detail. Superior listening, communication and problem-solving skills. Ability to investigate and resolve customer issues. Self-motivated; works independently with minimum direction in a distributed team environment. Establish new systems and processes and look for opportunities to improve the flow of data. Maintain clear and coherent communication, both verbal and written, to understand data needs and report results Assess the effectiveness of data sources and data-gathering techniques and improve data collection methods. Conduct research and develop prototypes and proof of concepts. Look for opportunities to use insights/datasets/code/models across other functions in the organization. Build a strong internal collaboration with Global business teams, provide effective mentoring to data engineers/Analysts, support company initiatives such as company integrations; IT changes etc. and ensure SOX compliance and following Keysight Policies, Guidelines & Standard of Business Conducts. Qualifications Careers Privacy Statement ***Keysight is an Equal Opportunity Employer.*** The candidate must have a strong understanding of data-mining, data engineering techniques and an ability to apply these techniques in practical real-world business issues. Ability to convert data into valuable insights for the business. Skills and Qualifications Bachelor s/master s degree in engineering or related discipline Min 5+ years experience in Business intelligence and data engineering Proficiency with data mining, BI, and data engineering Exposure to Machine Learning and AI Project management. Minimum 5 years of working experience in the following skills. The candidate must have strong working knowledge of SQL, Python Demonstrate strong skill in data visualization, and data cleansing tools and techniques. Strong hands on experience of BI platforms and analytical tools - Power BI and SpotFire, Incorta to analyze business data and share insights. Excellent knowledge required with ETL tools - Microsoft SQL Server integration services. Thorough Knowledge of Sales Force Service Cloud, MicroStrategy, Denodo, OneStream, MicroStrategy, AI and MAchine Learning would be a plus. Good knowledge of Quality tools - Lean/Six Sigma and Agile methodologies Demonstrate proficiency in the use of MS Office/Software tools e.g. MS Excel, PowerPoint etc. for creation of reports and presentations to Global stakeholders. Exposure to any popular predictive analytics tool is preferred. Comfortable working in a dynamic, research-oriented group with several ongoing concurrent projects. Solid systems analysis skills to interpret data sources and deliver reporting solutions against business requirements. Excellent Project management skills. Collaborate with IT resources to meet delivery commitments. Key Responsibilities include: Work closely with Global business teams for requirement gathering, understanding, identify opportunities and use data to propose solutions for effective decision making. Lead and/or participate in Business requirements analysis, functional and technical design, development, and system testing. Exceptional communication and presentation skills. Ability to deliver under pressure and to tight deadlines. Exhibit attention to detail. Superior listening, communication and problem-solving skills. Ability to investigate and resolve customer issues. Self-motivated; works independently with minimum direction in a distributed team environment. Establish new systems and processes and look for opportunities to improve the flow of data. Maintain clear and coherent communication, both verbal and written, to understand data needs and report results Assess the effectiveness of data sources and data-gathering techniques and improve data collection methods. Conduct research and develop prototypes and proof of concepts. Look for opportunities to use insights/datasets/code/models across other functions in the organization. Build a strong internal collaboration with Global business teams, provide effective mentoring to data engineers/Analysts, support company initiatives such as company integrations; IT changes etc. and ensure SOX compliance and following Keysight Policies, Guidelines & Standard of Business Conducts.