Tektronix is seeking a highly skilled professional to lead initiatives in predictive modeling, data analysis, database development, process improvement, and technology enablement to deliver actionable insights, modernize reporting, and drive continuous improvement through data-driven strategies.
Requirements
- Strong background in data science, business intelligence, and predictive analytics.
- Proficiency in Power BI, data modeling, and database architecture.
- Experience applying Lean/continuous improvement tools and AI-driven automation.
- Exposure to tools such as Power BI, SQL, Python, R, or machine learning frameworks.
- Familiarity with data visualization, database concepts, and business reporting.
- Interest in developing fluency with RBS (Ralliant Business System) tools, Lean methods, and AI-driven process improvement.
- Experience with GenAI for competitive information, performance, and growth across verticals/horizontals.
Responsibilities
- Design and deploy predictive models and machine learning algorithms to uncover trends and forecast business outcomes.
- Translate complex data into actionable insights and recommendations.
- Partner with cross-functional stakeholders to build DVMs that support decision-making.
- Conduct analysis on customer behavior, market trends, and competitive positioning.
- Build market segmentation models to support targeted sales and marketing efforts.
- Architect scalable databases and data pipelines to support analytics and reporting needs.
- Apply RBS (Ralliant Business System) tools to streamline operations and eliminate waste.
Other
- Bachelor’s degree in Data Science, Computer Science, Statistics, Mathematics, Engineering, Business Analytics, or Management Science & Engineering.
- Master’s degree in Data Science, Business Analytics, or Management Science & Engineering preferred but not required.
- Excellent communication and collaboration skills, with the ability to influence stakeholders.
- Prior experience in a commercial, sales, or operations environment preferred.
- Ability to work with diverse groups and promote a culture of inclusion and diversity.
