Advanced Growth Insights & AI Analyst, Data and Analytics

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, employees create world-class solutions in communications, 5G, automotive, energy, quantum, aerospace, defense, and semiconductor markets for customers in over 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

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