Renesaselectronics

Renesaselectronics

Staff Strategic Planning Specialist

Ottawa, ON, Canada · Staff+

Sponsorship not specifiedDetected 5 days ago
SQLData VisualizationProject ManagementFinancial ModelingExcelM&ACommunicationCollaborationCritical ThinkingPublic Speaking

About the role

  • Headquartered locally in the heart of San Jose, our Silicon Valley team is at the forefront of innovation in Automotive, Industrial, Infrastructure, and IoT technologies.
  • Joining our team means joining a collaborative, forward-thinking environment where your work directly impacts the next generation of AI-driven infrastructure and green energy solutions.
  • This role sits at the intersection of long-range planning, commercial strategy, M&A and technology evaluation, and executive communication.

Responsibilities

  • Aid in the development and implementation of processes and initiatives that enhance operational efficiency and support strategic objectives.
  • We design and develop sustainable, power-efficient solutions today that help people and communities thrive tomorrow, ' To Make Our Lives Easier.'
  • Are you ready to own your success and make your mark?

Skills

  • Proficiency in Excel and/or data visualization tools (e.g., Tableau, Power BI); familiarity with SQL and financial modeling is a plus.
  • Comfort with Ambiguity and Fast Iteration: Ability to thrive in a dynamic environment where priorities shift and solutions evolve quickly.
  • Bachelor's degree in engineering, or a related field
  • 8 years of related experience within semiconductor industry, with experience at management consulting firms is a plus
  • At Renesas, you can:
  • Join Renesas.

Benefits

  • Maximize your performance and wellbeing in our flexible and inclusive work environment.

Company info

  • Make a real impact by developing innovative products and solutions to meet our global customers' evolving needs and help make people's lives easier, safe and secure.

This listing is sourced directly from Renesaselectronics's careers page and normalized into a canonical job model.