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 award-winning culture embraces a bold vision of where technology can take us and a passion for tackling challenging problems with industry-first solutions. We believe that when people feel a sense of belonging, they can be more creative, innovative, and thrive at all points in their careers.
Join Keysight’s central Data & Analytics organization as a key contributor to the Growth Insights team. In this mid-level role, you will apply advanced analytics, Business Intelligence, and Generative AI techniques to uncover insights and drive data-informed growth strategies across Keysight’s hardware, software, and services portfolio.
You will work cross-functionally with product, sales, marketing, and strategy teams to support enterprise-wide growth initiatives, reporting to a senior leader within the Data & Analytics organization.

Responsibilities:

• Analyze Growth Opportunities: Collaborate with business stakeholders to explore complex growth challenges using data analytics, predictive modeling, and Gen AI tools to generate actionable insights.
• Develop AI-Enhanced Dashboards: Build and maintain dynamic, Gen AI-powered dashboards and reporting tools that provide foresight and prescriptive recommendations to business teams.
• Support ML Model Deployment: Assist in the implementation and monitoring of machine learning models for use cases such as sales recommendations, churn prediction, and financial forecasting.
• Enable Agentic AI Solutions: Contribute to the development and testing of Agentic AI workflows that automate growth-related tasks across platforms like Salesforce, Hubspot, Eloqua, and Oracle Cloud.
• Collaborate on Data Infrastructure: Work with Data Engineering to ensure data pipelines and architecture support scalable, AI-native analytics solutions.
• Promote Data Literacy: Help maintain the enterprise data catalog and support internal data literacy initiatives by enabling self-service analytics and sharing best practices.
• Deliver Executive Insights: Prepare data visualizations and summaries that support strategic decision-making by senior leadership, including the Chief Data & Analytics Officer.

Qualifications:

• Bachelor’s or Master’s degree in a STEM field (e.g., Computer Science, Engineering, Statistics, Mathematics)
• 5+ years of experience in Data Analytics, Business Intelligence, or Data Science
• Proficient in Python or R, and SQL queries
• Highly experienced with BI tools such as Power BI and Tableau
• Familiarity with Generative AI and Machine Learning concepts and tools
• Strong analytical skills to translate data into business insights
• Strong communications skills and affinity for data storytelling and data storyboards to communicate the ‘why’
• Experience working in cross-functional teams and managing multiple priorities

Careers Privacy StatementKeysight is an Equal Opportunity Employer.
The level of role will be based on applicable experience, education and skills; Most offers will be between the minimum and the midpoint of the Salary Range listed below.

• Analyze Growth Opportunities: Collaborate with business stakeholders to explore complex growth challenges using data analytics, predictive modeling, and Gen AI tools to generate actionable insights.
• Develop AI-Enhanced Dashboards: Build and maintain dynamic, Gen AI-powered dashboards and reporting tools that provide foresight and prescriptive recommendations to business teams.
• Support ML Model Deployment: Assist in the implementation and monitoring of machine learning models for use cases such as sales recommendations, churn prediction, and financial forecasting.
• Enable Agentic AI Solutions: Contribute to the development and testing of Agentic AI workflows that automate growth-related tasks across platforms like Salesforce, Hubspot, Eloqua, and Oracle Cloud.
• Collaborate on Data Infrastructure: Work with Data Engineering to ensure data pipelines and architecture support scalable, AI-native analytics solutions.
• Promote Data Literacy: Help maintain the enterprise data catalog and support internal data literacy initiatives by enabling self-service analytics and sharing best practices.
• Deliver Executive Insights: Prepare data visualizations and summaries that support strategic decision-making by senior leadership, including the Chief Data & Analytics Officer