About this Campaign Analyst role at Tractian

Tractian · São Paulo, SP

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.

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