Senior Data Analytics Engineer

Posted Yesterday
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Hiring Remotely in Buenos Aires, Ciudad Autónoma de Buenos Aires, ARG
Remote
Senior level
Artificial Intelligence • Big Data • Information Technology • Analytics
Next Generation Consumer-Tech Platform
The Role
The Senior Data Analytics Engineer will enhance BI systems, ensuring data accuracy and usability, while collaborating with cross-functional teams to optimize data products and insights.
Summary Generated by Built In


About Trafilea

Trafilea is a Consumer Tech Platform for Transformative Brand Growth. We’re building the AI Growth Engine that powers the next generation of consumer brands.

With 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.

We own and operate our own digitally native brands (not an agency), with presence in Walmart, Nordstrom, and Amazon, and a strong global D2C footprint.

Why Trafilea

We’re a tech-led eCommerce group scaling our own globally loved DTC brands, while helping ambitious talent grow just as fast.

🚀 We build and scale our own brands.

🦾 We invest in AI and automation like few others in eCom.

📈 We test fast, grow fast, and help you do the same.

🤝 Be part of a dynamic, diverse, and talented global team.

🌍 100% Remote, USD competitive salary, paid time off, and more.

Key Responsibilities

We’re looking for a Senior Data Analytics Engineer to take ownership of our BI ecosystem and drive high-impact improvements in data reliability, performance, and business insights.

This role sits at the intersection of data engineering, analytics, and business strategy, working closely with Marketing and cross-functional teams to ensure data is not only accurate — but actionable.

You’ll play a key role in transforming how the company uses data to make decisions.

  • Own and improve the reliability and performance of dashboards and reporting systems

  • Design and optimize data models and SQL transformations in the data warehouse

  • Build and maintain scalable BI solutions using Tableau and cloud data platforms

  • Implement data quality checks, monitoring, and anomaly detection systems

  • Partner with stakeholders to translate business needs into robust data products

  • Improve query performance and reduce reporting inefficiencies

  • Define and standardize KPI frameworks, especially for Marketing metrics

  • Ensure documentation, ownership, and governance across all BI assets

  • 4–6+ years in BI, Analytics Engineering, or Data Engineering

  • Advanced SQL (CTEs, window functions, performance tuning)

  • Strong experience with Tableau

  • Experience working with data warehouses and transformation layers

  • Hands-on experience with Git and version-controlled workflows

  • Strong analytical mindset and attention to detail

  • Ability to work with both technical and business stakeholders

Nice to have
  • Experience with AWS stack (S3, Redshift, Athena, Glue, etc.)

  • Experience with dbt, Airflow, or modern ELT pipelines

  • Background in Marketing analytics (CAC, ROAS, LTV, funnels, etc.)

Top Skills

Airflow
Athena
AWS
Dbt
Glue
Redshift
S3
SQL
Tableau
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The Company
437 Employees
Year Founded: 2014

What We Do

Trafilea is a consumer tech platform business leveraging AI, advanced analytics, proprietary technology, and proven world-class marketing to build and scale category-defining brands in women’s intimates, beauty, and wellness — primarily for the U.S. market. We are a remote data-driven team of ambitious doers, passionate marketers, and tech innovators with the instincts and energy to transform the world as we know it.

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