Campaign Analyst

Integrated Campaigns at Tractian Tractian’s Integrated Campaigns team connects global strategy with regional execution to drive pipeline and engagement across key markets. Working cross-functionally with Growth, Product Marketing, Field Marketing, and RevOps, the team brings integrated campaigns to life through coordinated, multi-channel activations. Focused on performance and execution, the team ensures campaigns are launched effectively, stay on track, and are optimized to align with business goals. What you'll do As a Campaign Specialist at Tractian, you will execute integrated marketing campaigns across Brazil, translating global strategy into localized, high-impact tactics. You will work across multiple channels and partner with cross-functional teams to ensure campaigns are delivered on time and perform effectively.

Responsabilities

• Execute multi-channel campaigns, including email, social, webinars, and ABM programs
• Build and launch email campaigns using HubSpot
• Support campaign messaging, ad copy, and content execution
• Localize global campaigns for Brazil
• Collaborate with Field, Growth, Product Marketing, and RevOps teams
• Track and report on campaign performance, identifying optimization opportunities
• Manage timelines and ensure timely campaign delivery

Requirements

• 2–3 years of experience in B2B marketing, demand generation, or campaign execution
• Bachelor’s degree in Marketing, Business, Communications, or related field
• Fluent in English
• Hands-on experience executing multi-channel campaigns
• Experience with email marketing automation and CRMs (Hubspot or similar)
• Strong organizational and project management skills
• Ability to work cross-functionally in a fast-paced environment
• Comfortable analyzing campaign performance and metrics

Bonus Points

• B2B SaaS, industrial tech, or enterprise technology background.
• CMP Certification.
• Experience building event programs from the ground up in a scaling company.
• Familiarity with revenue attribution and pipeline influence models.