Demand Planning Intern

Watts Water TechnologiesNorth Andover, MA
57d$22 - $26Hybrid

About The Position

As a Demand Planning Intern, you will work closely with the Demand Planning team to support critical forecasting and inventory initiatives. You’ll gain exposure to the full demand planning cycle, cross-functional collaboration, and key systems ERP tools, and forecasting platforms. Scope of Position As a Demand Planning Intern, you will work closely with the Demand Planning team to support critical forecasting and inventory initiatives. You’ll gain exposure to the full demand planning cycle, cross-functional collaboration, and key systems ERP tools, and forecasting platforms.

Requirements

  • Currently Pursuing bachelor’s degree in supply chain management, business analytics, economics or related filed.
  • Minimum rising junior or senior standing
  • Strong analytical and problem-solving skills
  • Proficiency in Microsoft Excel (pivot tables, formulas, charts) and PowerBI
  • Excellent verbal and written communication skills
  • Organized and detail-oriented; able to manage multiple priorities
  • Commitment to Watts’ values of integrity, accountability, continuous improvement and innovation, and transparency.
  • Punctuality and dependability.
  • Ability to be flexible and adapt to changing work priorities and stressful conditions.
  • Adherence to all personnel policies, procedures, and standards of process as implemented by Watts.
  • Maintain productive and collaborative relationships with other Watts employees.
  • Adherence to Watts’ seven cultural beliefs: Growth Mindset, Customer-Focused Innovation, Constant Communication, Clear Goals, Collaborate Globally, Be Inclusive, and Take Action.

Responsibilities

  • Assist with coding and classification of data.
  • Support data verification, investigation, and cleaning to ensure accuracy and consistency across datasets.
  • Create recurring reports, dashboards, and presentations to summarize data and insights.
  • Monitor forecast performance and track variances.
  • Learn and apply statistical and data analysis techniques to improve forecasting accuracy.
  • Support senior analysts on projects and gain exposure to industry best practices.
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