RGM Analyst: Revenue Growth Insights & Pricing

Kraft Heinz, Inc.; Toronto; Hybrid; CAD 107,000 - 134,000; Full time

Benefits offered by this job

Performance bonus

Healthcare coverage

Hybrid work arrangement

Job summary

Kraft Heinz is seeking an Analyst in Revenue Growth Management (RGM) in Toronto, hybrid three days per week. You will analyze pricing, promotion, and mix to drive growth, build reports and models, and prepare business cases for cross-functional partners.

The role requires a degree in business-related field and 0–2 years in analytics, with strong Excel, data handling, and communication skills. Eligible for a performance-based bonus and comprehensive benefits.

Qualifications

• Bachelor’s degree in Business, Finance, Economics, Mathematics, Statistics, or related field.
• New grad or 1–2 years of experience in RGM, Finance, Sales, or analytics roles.
• Strong Excel skills and large data sets and financial models.
• Experience with syndicated data and reporting tools such as Nielsen, Power BI, or Tableau.
• Strong written and verbal communication and cross-functional collaboration.

Responsibilities

• Analyze pricing, promotion, and mix to identify growth opportunities.
• Build and maintain reports, trackers, and models for category performance.
• Prepare pricing recommendations, guardrails, and business cases.
• Conduct competitive, category, and channel analyses using internal and syndicated data.
• Summarize findings for Sales, Finance, Marketing, and category partners.
• Support planning routines and ad hoc analyses.

Skills

Excel skills

Power BI

Tableau

Analytics

Communication skills

Education

Bachelor's degree in Business, Finance, Economics, Mathematics, Statistics, or related field

Tools

Nielsen

Tableau

Job description

Kraft Heinz is seeking an Analyst in Revenue Growth Management (RGM) in Toronto, hybrid three days per week. You will analyze pricing, promotion, and mix to drive growth, build reports and models, and prepare business cases for cross-functional partners.

The role requires a degree in business-related field and 0–2 years in analytics, with strong Excel, data handling, and communication skills. Eligible for a performance-based bonus and comprehensive benefits.