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Note: If you apply for a role at Hershey through our career’s website, we may use technologies that use automation to filter your candidacy based on objective criteria. We also use AI-enabled tools that help us facilitate the selection of our future Hershey talent. These tools may help with activities such as matching and scoring candidates to roles based on requirements and scheduling interviews. These systems process only the information you provide in your application, including your resume, work history, education, and responses to screening questions. While these technologies assist with certain steps in our recruitment process and may provide recommendations, all final decisions, including those affecting whether candidates advance to subsequent stages in the applicant process, are made by our talent acquisition teams with meaningful human review and independent judgment. Depending on your location and the specific role you apply for, additional disclosures about our use of AI in recruitment may be provided to you separately.

Analyst Data

Posted Date:  Aug 26, 2026
Requisition Number:  130153

Analyst – AI & Analytics

English proficiency: Intermediate to Advanced
Location: Guadalajara, Jalisco, Mexico
Work arrangement: Hybrid work model

About The Hershey Company

The Hershey Company (NYSE: HSY) is an industry-leading snacks company known for making more moments of goodness through its iconic brands. With a strong portfolio across chocolate, confectionery, and salty snacks, Hershey delights consumers every day. Our beloved brands include Hershey’s, Reese’s, KitKat®, Dots Pretzels, Lesser Evil, Jolly Rancher, Twizzlers, Ice Breakers, and more. At Hershey, we are committed to making a meaningful difference in the communities where we live, work, and do business. This commitment originated with our founder, Milton Hershey, and continues to shape who we are today. Guided by our employee value proposition, Lead Today. Create Tomorrow, we empower our people to drive impact now while shaping what comes next. Our One Hershey mindset brings teams together across functions, geographies, and businesses, enabling us to operate with speed, collaboration, and shared purpose. The Hershey Company is proud to be recognized as a top employer in the United States, reflecting our commitment to our people, culture, and purpose.

How will you fit in the big picture?

As an Analyst – AI & Analytics, you will help accelerate Hershey’s AI and analytics transformation by supporting the adoption of Generative AI, Microsoft 365 Copilot, Power BI, and AI-driven business solutions. You will partner with business stakeholders and technical teams to deliver reporting, analytics, automation, and AI-enabled experiences that help drive faster, smarter decision-making across the International organization.

What will you do?

  • Support end users with Microsoft 365 Copilot, Power BI Copilot, and AI tools by helping resolve questions, improve adoption, and promote effective AI usage.
  • Assist in the development and enhancement of Power BI reports, dashboards, semantic models, and analytics solutions that support International Data Products.
  • Partner with business teams to gather requirements, validate data, and deliver reporting and analytics solutions aligned to business priorities.
  • Support AI agents, workflow automation, and productivity solutions using tools such as Copilot Studio and Power Automate.
  • Perform testing, quality validation, documentation, and stakeholder communication throughout the solution lifecycle.
  • Create user guides, playbooks, workshops, and training materials that help drive adoption of AI-powered analytics capabilities.

Minimum Requirements

Experience:

  • 0-2 years of experience in Analytics, Technology, Data, Digital, Business Intelligence, or related fields.
  • Exposure to AI tools such as Microsoft Copilot, ChatGPT, or similar technologies preferred.
  • Experience with Power BI, reporting, automation, user support, or training is a plus.
  • Familiarity with SQL, Python, Power Query, or other data analysis tools preferred. 

Education:

  • Bachelor's degree in Computer Science, Data Analytics, Engineering, Mathematics, Business, Economics, Statistics, Operations, or a related discipline, or equivalent experience.
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