Insight Analyst

Role Overview: You will be joining 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. Key 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 Required: - 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 Role Overview: You will be joining 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. Key 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 Required: - 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