Field Marketing Data Analyst at VTEX

Hybrid - Bucharest, Romania

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The Field Marketing Data Analyst at VTEX is responsible for owning technical tracking, analysis, and reporting of marketing, sales, and PR data across regions. This highly data‑driven role focuses on building reliable dashboards, ensuring data accuracy, and translating complex datasets into actionable insights for leadership. The analyst works hybrid, attending the Bucharest office four days a week and working remotely on Friday, and collaborates with cross‑functional teams to design tracking frameworks, validate data quality, measure ABM performance, analyze campaign effectiveness, and leverage AI tools to streamline reporting and provide data‑driven insights for Sales and Marketing leadership.

Requirements

Skills

  • Bachelor’s degree in Data Analytics, Computer Science, Engineering, Marketing Analytics, or a related field.
  • Minimum 4 years of experience in a data analyst, marketing analytics, or business intelligence role with a strong understanding of commerce or B2B SaaS industry
  • Experience with BI tools (e.g., Looker, Tableau, Power BI).
  • Proficient in HubSpot and hands‑on experience in marketing automation, data models and marketing platforms (e.g., Zapier, Clay, etc.).
  • Familiarity with AI-powered analytics workflows
  • Hands‑on experience with multi‑touch attribution in a B2B context.
  • English: Full professional proficiency required.
  • Spanish or Portuguese represent an advantage.

Responsibilities

  • Design, implement, and maintain the tracking frameworks for field marketing, digital marketing, sales and PR initiatives.
  • Ensure correct data flow and integration across systems (CRM, marketing automation, event platforms, sales tools and PR tools).
  • Validate data quality, consistency, and completeness across all reporting sources.
  • Measure ABM programme performance at account level: target account coverage, engagement depth across the buying committee, and progression through the funnel.
  • Analyze performance across campaigns, events, regions, and channels and identify trends, anomalies, and performance drivers.
  • Use AI tools to streamline reporting, automate repetitive analysis, and generate faster, data‑driven insights for Sales and Marketing leadership.

Technologies

LookerTableauPower BIHubSpotZapierClay

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