Marketing Data Architect for New Business & M&A

Toptal

Argentina

À distance

ARS 136 428 000 - 197 062 000

Plein temps

Il y a 2 jours
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Résumé du poste

Toptal is seeking a Marketing Analyst to build and own the marketing data infrastructure, supporting new businesses from M&A. You will track paid advertising performance, translate it into LTV and ROAS, and develop reports to help leadership make data-driven decisions.

You will define metrics, run experiments, build models, and forecast outcomes, delivering insights that tie paid data to revenue and operations. This is a remote role with global teams.

Qualifications

  • Bachelor’s degree required.
  • 3+ years in data analytics focused on marketing.
  • Experience analyzing paid advertising performance (Google Ads) and translating into LTV, CAC, ROAS.
  • Experience building or owning marketing data infrastructure (tracking, attribution, data pipelines, reporting).

Responsabilités

  • Analyze data, build models, test hypotheses, forecast performance, create Tableau reports, and write SQL scripts; extract insights to inform marketing decisions.
  • Build and maintain the marketing data infrastructure, from ad impressions to revenue, integrating Google Analytics, Google Ads, and other platforms.
  • Measure and diagnose paid advertising performance across channels to guide budget allocation and channel strategy.
  • Partner with analysts to connect marketing performance with revenue and operations to drive business impact.

Connaissances

SQL
Tableau
PowerBI
Google Analytics
Google Ads
LTV/ROAS/CAC
Generative AI
Data analysis

Formation

Bachelor’s degree
MBA (plus)

Outils

Tableau
Qlik
PowerBI

Description du poste

Toptal is seeking a Marketing Analyst to build and own the marketing data infrastructure, supporting new businesses from M&A. You will track paid advertising performance, translate it into LTV and ROAS, and develop reports to help leadership make data-driven decisions.

You will define metrics, run experiments, build models, and forecast outcomes, delivering insights that tie paid data to revenue and operations. This is a remote role with global teams.

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