Senior Analytics Engineer

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Leega

WebsiteLinkedInAll Job Openings

201 - 500 employees

Founded 2010

🔌 API

🤖 Artificial Intelligence

API • Artificial Intelligence • Cloud Solutions

Leega is a leading technology solutions provider in Latin America, specializing in data analytics and cloud solutions. As the first company in the region certified by Google Cloud for Data Analytics, Leega offers a range of services including application development, machine learning, and risk management analytics. The firm partners with major cloud services such as AWS and Microsoft Azure to help businesses enhance their data management and transition effectively to the cloud, ultimately driving digital transformation and innovation.

📋 Description

• Work directly within tribes requiring the development of data pipelines and new dashboards. • Strong experience as an Analytics Engineer, BI Engineer, or in a similar role. • Minimum proven experience: 5 to 6 years (required). • Advanced SQL: deep knowledge of schema design, query optimization, and dimensional/relational modeling. • Advanced experience with DBT: professional use in building, testing, and documenting data transformation pipelines. • Experience with Airflow: building, maintaining, and orchestrating complex data pipelines. • Google Cloud Platform (GCP): • Expertise in BigQuery: in-depth knowledge of performance tuning, cost management, and advanced platform features. • Familiarity with other GCP data services (e.g., Google Cloud Storage). • Experience with BI/visualization platforms: proficiency in developing dashboards on the Looker Platform.

🎯 Requirements

• Analytical and consultative skills • Consultative profile: ability to communicate with non-technical stakeholders, gather business requirements, and translate them into data solutions. • Analytical and critical thinking: ability to go beyond the "what" (data) and address the "why" (root-cause analysis), proposing solutions based on insights. • Documentation and governance: strong culture of documentation, tagging, and promoting data governance. • Programming: knowledge of Python for task automation, building custom pipelines, and/or exploratory analyses. • Knowledge of business metrics (optional): familiarity with product metrics (AARRR), marketing (LTV, CAC), or financial metrics.

🏖️ Benefits

• 100% Remote