Keysight is looking to leverage advanced analytics, Business Intelligence, and Generative AI to uncover insights and drive data-informed growth strategies across its hardware, software, and services portfolio.
Requirements
- 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
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.
Other
- 5+ years of experience in Data Analytics, Business Intelligence, or Data Science
- 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
- Bachelor’s or Master’s degree in a STEM field (e.g., Computer Science, Engineering, Statistics, Mathematics)
