Job Description
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 Keysights 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 Keysights 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.
- Bachelors or Masters degree in a STEM field (e.g., Computer Science, Engineering, Statistics, Mathematics)
Looking to get Placed? Try our Placement Guarantee Plan
- 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
Skills
Advanced AnalyticsData AnalyticsPythonData ScienceImplementationMachine LearningPredictive ModelingAnalyticsAiMlSqlAnalystIf an employer asks you to pay any kind of fee, please notify us immediately. Jobaaj does not charge any fee from the applicants and we do not allow other companies also to do so.
About Company
Important dates & deadlines?
Application Deadline
03 Apr 26, 04:47 PM IST
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