Senior Data Analytics Engineer (BI - LATAM-Based) (Rancul)

Trafilea Ver todas las vacantes

  • Rancul, La Pampa
  • Permanente
  • Tiempo completo
  • Hace 1 día
About Trafilea\nTrafilea is a Consumer Tech Platform for Transformative Brand Growth. We’re building the AI Growth Engine that powers the next generation of consumer brands.\nWith over $1B+ in cumulative revenue, 12M+ customers, and 500+ talents across 19 countries, we combine technology, growth marketing, and operational excellence to scale purpose-driven, digitally native brands.\nWe own and operate our own digitally native brands (not an agency), with presence in Walmart, Nordstrom, and Amazon, and a strong global D2C footprint.\nWhy Trafilea\nWe’re a tech-led eCommerce group scaling our own globally loved DTC brands, while helping ambitious talent grow just as fast.\n🚀 We build and scale our own brands.\n🦾 We invest in AI and automation like few others in eCom.\n📈 We test fast, grow fast, and help you do the same.\n🤝 Be part of a dynamic, diverse, and talented general team.\n🌍 100% Remote, USD competitive salary, paid time off, and more.\nJob Responsibilities\nWe’re looking for a Senior Analytics Engineer (BI) to take ownership of our marketing and business intelligence layer. This role sits at the intersection of data engineering, analytics, and business impact—ensuring our reporting is reliable, scalable, and drives better decision-making.\nYou will play a key role in improving our marketing reporting platform, building high-quality data models, and partnering with stakeholders to turn data into actionable insights.\nWhat You’ll Do\n1.\nOwn Reporting\nReliability & Data Quality\nEnsure dashboards and reports are accurate, reliable, and always available\nImplement monitoring, alerting, and SLAs for critical reporting assets\nInvestigate and resolve data issues with a clear root-cause analysis\n2.\nBuild Scalable Data\nModels\nDesign and optimize SQL transformations and data models\nImprove the performance of datasets and reporting queries\nReduce duplication by centralizing business logic in the data layer\n3.\nDeliver\nHigh-Impact BI Solutions\nBuild and maintain dashboards, reports, and analytical tools\nTranslate business needs into scalable BI solutions\nDeliver projects with clear estimation and predictable execution\n4.\nEnsure Data\nTrust & Observability\nImplement data validation checks and anomaly detection\nProactively identify issues before they impact stakeholders\nImprove overall data quality across pipelines and reporting\n- Partner with the Business\nAct as a trusted partner for Marketing and commercial teams\nDefine and maintain key metrics (CAC, ROAS, conversion funnels, etc.)\nGenerate insights that directly influence business decisions 4–6+ years in Analytics Engineering, BI, or Data Engineering\nAdvanced SQL skills (joins, CTEs, window functions, optimization)\nStrong experience with BI tools (Tableau or similar)\nExperience building and maintaining data models and pipelines\nProven ownership of production reporting and data quality\nAbility to communicate insights to both technical and non-technical stakeholders\nNice to Have\nExperience with AWS stack (S3, Redshift, Glue, Athena, etc.)\nFamiliarity with dbt, Airflow, or modern ELT frameworks\nExperience in marketing analytics (CAC, ROAS, LTV, funnels, retention)

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